About Me

Sagnik Jena

A Data Scientist with 5 years of experience in the field of advanced analytics across sectors like manufacturing, supply chain, pharma and tax. Substantial experience developing end-to-end scalable machine learning and neural network systems in an industry environment. Well versed with supervised and unsupervised ML approaches, natural language processing (NLP / NLU / NLG) and transfer learning. Comfortable working in an Agile framework with excellent communications skills, business acumen and drive for innovation.

My Career

PricewaterhouseCoopers Pvt. Ltd., India

I am currently working as a Data Scientist at PwC where I leverage advanced analytics concepts like machine learning, NLP and deep learning to solve important client problems. I am actively involved in developing the team's capabilities in data science and machine learning as well. Some of my works include process optimization in manufacturing using genetics based machine learning and informational retrival using OCR and NLP in Tax.

April, 2019 - Present
Data Scientist | Senior Consultant

PricewaterhouseCoopers Pvt. Ltd., India

Got promoted from Consultant to Senior Consultant

March, 2019
Promotion

PricewaterhouseCoopers Pvt. Ltd., India

As a Consultant at PwC, I was involved in designing, developing, and reporting results from prototype or proof-of-concept research projects that focused on 1) new tools, methods, or algorithm, 2) new scientific domains or application areas, 3) new datasets or sources.

October, 2017 - March, 2019
Consultant

Praxis Business School, Bengaluru, India

Post Graduation Program in Datascience

January, 2017 - October, 2017
Post Graduation Student

AnalytixLabs, Gurugram, India

Certification on big data technologies - Hadoop, Spark, Hive, HBase, Sqoop, Flume

March, 2016 - October, 2016
Certification Trainee

Cognizant Technology Solutions Pvt. Ltd., Bengaluru, India

As an ETL developer in Cognizant, I was involved in loading client data into a data warehousing environment, testing it for performance, and troubleshooting it before it went live. I also developed automation scripts using shell scripting to optimize and speed-up the ETL pipeline.

May, 2013 - April, 2015
Program Analyst

Amrita Vishwa Vidyapeetham, Bengaluru, India

Bachelors of technology in Electronics and Electrical Engineering

July, 2008 - May, 2012
Undergraduate Student
Download my detailed CV

My Projects

Object Detection | A simple web app

A minimalistic web application using Flask and ImageAI to detect objects in an image.

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Withholding Tax Manager | PwC India

Was involved in developing the machine learning capability of PwC India's in-house web application called the Withholding Tax Manager. The application is used by the clients for the reconciliation of their organizations withholding tax data.

Semantic Search

Developed a semantic search API for a client which uses natural language understanding and a custom ranking algorithm to return results based not only on keywords, but the contextual meaning and intent of the user query.

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Smart String Matching

The algorithm speeds up the string matching process by using text mining concepts like TF-IDF and cosine similarity.

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Supply chain simulation analysis

A client's supply chain was simulated and simulation analysis was done to identify choke points, vulnerable nodes and import factors affecting their supply chain.

Manufacturing process optimization using Genetic Algorithm and ML

A classifier was designed to identify import factors resulting in manufacturing defects and fed into a Genetic Algorithm to optimize the values of process parameters.


My Blogs


You will find below a list of my blogs.