-- JOB ROLE--STAKE HOLDERMANAGERCONSULTANTSENIOR BUSINESS ANALYSTOTHERS
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“Thank you Affine Analytics, for providing this phenomenal opportunity in the middle of the Coronavirus lockdown. Your virtual onboarding process welcomes newcomers with a seamless experience.
Special mentions to Urmita Das, Somya Sutar, Diana D’souza, & Sheethal B for the extra support that gets us through these tough times – you guys are the best!”
4 years with Affine!!
Can’t Thank Affine Analytics enough for giving me the opportunity to broaden my HR horizon. Coming from a recruitment background, I was given the opportunity to explore, learn and grow in other HR functions, may that be Learning & Development, On boarding, Company Policies or any other areas of my interests.
I would like to acknowledge and thank for the continuous support and encouragement from my Team and the Management along with all my Colleagues, without which none of this would have been possible. I am proud to work with a team full of ambitious people who continue to deliver excellent results. I count myself lucky to work in an office with such thoughtful employees.
I’ve always believed that the people you work with are what makes the job worthwhile, Affine’s work culture is very nurturing and it has brought out the best in me. Looking forward to many more milestones in the future!
Special Thanks to Saloni Singh and Anuja Kokrady for their guidance!
A walk down memory lane!
When I joined Affine, I never thought it would be such a long journey – this has truly been the best 4 years of my career.
The learnings and guidance I received has made me a much better data science practitioner since the day I walked through the doors. Today, I can proudly say that my knowledge base includes Advanced Machine Learning, NLP, Deep Learning with domain knowledge in Retail, Automobile, Oil and Gas and the Manufacturing Industries – all thanks to Affine Analytics.
In these 4 years, I’ve had the opportunity to work under the wings of some amazing mentors and collaborate with some talented colleagues, all the while, making quite a few friends for life. Sincere thanks to Manas Agrawal and Ashish Maheshwari for placing their trust in me and nurturing my capabilities.
Cheers to the future and all that we do…
A Blazing 4-year celebration!
Most people might consider their fourth-work-anniversary as a milestone for the substantial amount of time they’ve spent in that office. But to me personally, these four years have passed by in the blink of an eye.
Looking back at my choices then, I feel glad to have made the right decisions. Being part of team Affine Analytics brings me nothing but pride – the Management has a very effective system that creates an environment promoting teamwork and employee engagement.
Coming from a humble background into the city has genuinely helped me open my eyes to a broader perspective, giving me insight and the inspiration to work harder for my goals.
My four years in IT support has taught me much about the technical work. I was able to use this opportunity to learn and understand more about Networking, Servers & Cloud support.
I want to thank the Management and my Team for their continuous support and all my colleagues for their encouragement throughout these years.
I’m lucky to work in an office that combines all its efforts into creating innovative products that build brand value.
Special thanks to Mahesh Bhat and Yathish N for their support and help.
Looking forward to many more milestones ahead.
#affine #anniversary #crossingmilestones
Today I complete four years at Affine, and what a ride it has been!
Back when I was looking for new opportunities, I ended up having a serendipitous chat with Shuddhashil Mullick, who was already in Affine. He spent the better part of that conversation raving about Affine, and finally convinced me to apply.
Looking back, that was one of the best professional decisions I have made. During the past four years I have grown professionally, found some great mentors, worked with outstanding peers, and forged lifelong friendships.
As I look forward to many more fruitful and enriching years with Affine, I want to give a big shoutout to Ashish Maheshwari for his constant guidance and support throughout this incredible journey!
17th July, 2017 – The day I started my first job!
I never thought it would be such an incredible journey at Affine Analytics. Considering the tremendous exposure and learning that has bestowed within this organization, I’m extremely grateful for the experience that forged in me an unshakable faith.
In these three years, I’ve had the opportunity of working with some great mentors & talented peers. I’ve also had the opportunity to nurture some lifelong friendships. From being a fresher right out of college, Affine Analytics helped me become a good Data Science practitioner with a zeal and passion for learning.
I look forward to many more years of working with the same dedication.
Special thanks to Ashish Maheshwari Sir for his constant guidance and support throughout this incredible journey.
About six years ago, on July 21, 2014, I decided to move to Affine Analytics from my previous stint. For someone like me, who enjoys working with exuberant young people, being part of Affine Analytics always seemed like the right choice. Back then, Affine Analytics was still a startup with a handful of employees and a couple of big names to their client list. And I have witnessed the company grow into a known name in the Analytics field through the tireless efforts of some of the best minds I have worked with.
My journey here has been of great learning and growth
and it would not be complete without mentioning some of the people who helped me along the way – Abhishek Anand, Ashish Maheshwari and Vineet Kumar. Six years is a considerably long time, and even in situations of self-doubt, these three have never lost their faith and somehow always helped me pull through tough times! I cannot thank them enough, especially Ashish, who has been a pillar of support for me through thick and thin!
Years back, I took a plunge coming from a captive analytics background. I had very little idea about the world of ‘STARTUPS’ and ‘CONSULTING.’ However, a brief chat with Ashish Maheshwari in a Cafe Coffee Day was enough to make me take the chance; and boy, am I glad I did!
Affine Analytics has challenged me in ways I couldn’t have imagined. I can confidently say that I did more in my first two years at Affine, than my past seven!
I cannot overstate my learnings from Manas Agrawal, Vineet Kumar, and Abhishek Anand throughout these 5 years. Shout out to all our rookies – their zeal in the consulting sphere is inspiring and, at times, even intimidating! Priyankar Sengupta, Anuja Kokrady, Sourav Mazumdar, Bhawna Jain and KSHITIJ BANSAL you are all phenomenal colleagues, one could not have asked for better company, on and off work!
Last but certainly not least – my mentor for almost seven years now, Ashish Maheshwari has been a pillar of strength & support.
Thank you all for making me a part of this family!
Affine – A Work Place You Can Call Home!
Having known Manas Agrawal and Abhishek Anand for the past 10 years, I became a part of Affine Analytics through a close friend who was a former employee. From the very first day, I could feel a difference in the atmosphere and the overall work culture. Affine Analytics feels more like a family with a seemingly flat hierarchy – may it be with regards to contacting the senior management or brainstorming with your freshers, relationships are simply more natural than anywhere else I’ve previously worked.
By valuing personal growth and providing flexibility to explore individual interests, Affine Analytics sets itself apart as a workplace that helps employees find their most comfortable shoes while taking up additional responsibilities as and when possible.
Looking back on my fruitful four years, I’m glad to have been a part of this growing firm & I look forward to nothing short of many more years of personal and professional growth.
Celebrating 3 years at Affine! Cheers!
My first day doesn’t seem so far away – I guess time flies when you love what you do.
My professional journey started at Affine Analytics. The overall experience has been vibrant, with an atmosphere that augments self-learning. Affine has helped me grow with the industry requirements, enabling me broaden my skill sets, improving my learning trajectory in tools, technologies, business, and organizational pursuits, making me a better Data Science Practitioner every day.
The work culture at Affine offers you enough freedom to handle things your way – a process that has helped me adapt to an ever-evolving work environment.
I’m grateful for my engagements with everyone here, my interactions with them have helped me grow as a person. I would like to thank all my colleagues and seniors who have guided me on an ongoing basis.
Special thanks to Shuddhashil Mullick and Anuja Kokrady for always being my go-to guide and patiently hearing me out and resolving all my queries throughout this period.
I Thank everyone at Affine Analytics for making me a home away from my home! I have always cherished my time here and look forward to many more milestones.
I am excited today to share that I have completed 2 years with @Affine Analytics. My learning here is not just limited within the boundaries of professional work, but spread beyond like an endless ocean. I am delighted to work with company which always supports me through my thick and thin. Every new day brings a new opportunity to learn with the people who are no less than a family for me.
I want to thank all my colleagues & mentors who inspired me along the way and helped me being a better individual. Special thanks to @Rajesh Narayan, @Saloni Singh , @Sheethal, @Nivedita for their continuous guidance and support.
I am glad to announce that I’ve joined Affine Analytics as a Consultant. I want to thank the entire team for the hassle-free virtual on-boarding and orientation.
Cheers to Deepa & Sheethal B for a seamless interview process followed by smooth navigating through the entire induction by Diana D’souza & Somya Sutar
Additionally thanking Yathish N & abhinav from IT for their support.
I am looking forward to my journey at Affine Analytics.
#neworganization #affine #goingaboveandbeyond #virtualonboarding #thankyou
Today marks my 100 days in Affine Analytics. I am grateful to be given this opportunity amidst all the current crisis. A big thanks to Santhosh M and Prerna Verma from the HR team at Affine Analytics for making the onboarding process seamless and easy. I would also like to thank my manager Shuddhashil Mullick and the team for their constant feedback, which is helping me turn into a better professional. #analytics #AffineAnalytics
And the Journey Begins!
I am happy to announce that I embark my professional journey with Affine Analytics as a Senior Associate in Cloud Engineering vertical.
I am glad to be a part of the organization that kept its promise in these trying times. I am very much excited to enhance my skills and knowledge and I will try my best to achieve new heights with Affine.
I am thankful to Manas Agrawal, Mahesh Bhat and Ankit Agarwal for this great opportunity. Also, thanks to Sheethal B, Manjushree Hegde, Somya Sutar, Diana D’souza and Nideesh Pranav KJ for a seamless virtual on-boarding process.
#newbeginning #affineanalytics #virtualonboarding #thankyou #bringthechangeinyou
Cheers to New Beginnings!
I’m very excited to share with all of you the beginning of my new journey with Affine Analytics. Working with their Delivery team and the overall induction process was a cakewalk.
It’s always hard to find a place where you really fit in, especially, given the unprecedented times we are all in, Affine Analytics’ seamless virtual on-boarding experience added with their hospitality & warmth made me feel right at home – something I never imagined experiencing in the midst of this global crisis.
Big shout outs to Deepa C., Somya Sutar and their team for making this a memorable experience.
Really looking forward to this new venture, hope to see you all soon at the office
#affine #newbeginnings #virtualonboarding #newjourney
Unfolding a New Chapter!
Cheers to Sheethal B & Manjushree Hegde for the smooth interview process, followed by Diana D’souza & Somya Sutar from the HRBP and Abhinav from IT for the flawless onboarding. Embracing my new chapter Affine Analytics with jittery excitement!
#newbeginnings #neworganization #affineanalytics #goingaboveandbeyond #virtualonboarding #makinganimpact #thankyou
Based on the currently available forecasts, the number of patients in Karnataka is expected to peak by 12th Augustwith ~76.7 K infected cases across the state
Based on the currently available forecasts, the number of patients in Andhra Pradesh is expected to peak by 11th Augustwith ~85 K infected cases across the state
Based on the currently available forecasts, the number of patients in Delhi peaked on 6th July with ~25.6K cases and has gradually gone down. The number of active cases are expected to go down further.
Based on the currently available forecasts, the number of patients in Tamil Nadu was at its peak on 31st July with ~57.9K cases across the state.
Based on the currently available forecasts, the number of patients in Maharashtra was at its peak on 31st July with ~150K cases across the state. The number of active cases are expected to go down further.
Based on the currently available forecasts, the number of patients in India is expected to peak by 15th Augustwith ~6.35 L infected cases across the country
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Based on the currently available forecasts, the number of patients in US is expected to peak by 29th May with ~1.13 M infected cases across the country
Forecasted no of cases for 31st May 2020 under varying lockdown conditions.
The situation in New York is expected to be different with the number of patients in New York, expected to peak by 20th June with ~292 K infected cases across the state.
Though the number of patients in Massachusetts is expected be lower than NY and NJ, it is expected to peak by 13th Jun with ~93 K infected cases across the state
Based on the currently available forecasts, the number of patients in New Jersey is expected to peak by 15th Jun with ~145 K infected cases across the state.
Based on the currently available forecasts, the number of patients in Illinois is expected to peak by 16th May with ~69 K infected cases across the state.
Based on the currently available forecasts, the number of patients in California is expected to peak by 26th May with ~68 K infected cases across the state
– Data Lake Design Consulting
– Implementation services
– Data Migration services to big data- Design, Execute, Governance & Maintenance
– Model Migration services to scale to big data
Data Pond & Pipeline Development for Automation
– Design Data marts/ Data Ponds
– Design and develop data ponds, specific use case related
– Data Pipeline build and automation for specific Ponds
– Data Cleansing
– Missing Data Imputation
– Data Extraction(ELT) & Preparation for model/app consumption
Exploratory Data analysis in Big Data
– Dynamic Visualization & Analysis
– Analytics App UX/UI design
Dashboard and Scorecard
– Real time dashboard development: Integrated with traditional data warehouse/data lakes
– Balanced score card
– Web & Mobile App: Enterprise scale
– Flexible & Re-usable micro app development
– Deployment Consulting & Architecture Design
– Model integration services in:
– Existing IT system/tools
– Edge and IoT system
– Docker containerization services
– End to end cloud implementation for AWS, AZURE, GCP
– Cloud Administration
– Data migration from cloud to cloud environments
– Development and management services
– Cloud Security risk management
– Analytical Problem Definition & Translation
– Statistical Hypothesis Testing
– Prediction Using Standard Algorithms
– Model Maintenance for Business Relevance
– Machine Learning Based Solutions
– Identify and Estimate KPIs
– Highest Level of Accuracy
– Computer Vision, Speech & NLP Based Text Processing
– Analytics deployment through machine learning and statistical methods
– Improves data quality & reliability
– Designing Machine learning and deep learning systems
– Running Machine Learning tests and experiments
– Implementing ML algorithms
--Solution--Recommendation EnginePredictive Maintenance