Jul 2017 - Present 8 years 10 months
Data Scientist & AI Developer
Independent
- Handled development projects involving machine learning and AI. Focusing on cutting-edge technologies such as Tensorflow, Keras, Pytorch, Deep Learning, and most of the Python data science stack.
- Worked with clients in strategy formulation. Helped businesses to understand how to use AI. Studied the client’s strategy, challenges, and opportunities faced by the company, client’s data and analytics capabilities. Combined with an understanding of state-of-the-art AI, identified the most important AI initiatives for the company.
- Helped a telecommunication and media company, based in the US on the identification of fake news using Tensorflow, Pytorch, and Transfer learning algorithm.
- Worked with a startup in the financial services domain, based in the UK on StockTwits sentiments analysis using Tensorflow, Keras. Developed a recommendation engine for a coupon selling site that offering huge discounts on everything from hot yoga to gourmet sushi, to a summer concert bonanza.
- Other clients: JSS STEP, IBM, Newristics, AbbVie Inc, RJ Corp, and Sony, among many others.
As a data scientist for IBM US:
- Developed a Python model to improve facility utilization, reduce facility operations cost and reduce lease cost along with a number of business constraints.
- Technologies: Python, Plotly, and linear programming package PuLP.
As a data scientist for Newristics US:
- Developed a Python application that uses natural language processing with deep neural networks sequence to sequence learning to automate business processes. This has reduced business operation costs by 15FTE.
- Technologies: Python, LSTM, gensim, GloVe, SpaCy, and NLTK.
As a data scientist for AbbVie Inc:
- Worked closely with C-level executive and product management team to analyze the survey and produced data/reports. This has helped product team and executive team to make more informed decisions, increasing market share through the identification of new opportunities, target segments, and devising ingenious new ways of resolving constraints.
- Technologies: Python, R, Plotly, Matplotlib, Regression, Cluster, and Association Rule.
As a data scientist for RJ Corp India:
- Developed a Python application that uses deep neural networks in time-series modeling to forecast demand of hundreds of SKU/products based on the four years of historical data.
- Technologies: Python and LSTM.
As a data scientist for Sony India:
- Built a rule-based Python application to detect fraudulent/anomalous financing transactions.