Jan 2019 – Jun 2021 · 2 yrs 5 mos

May 2016 – Dec 2018 · 2 yrs 7 mos

May 2015 – Jul 2015 · 2 mos · Greater Delhi Area

• Responsibilities:
• Creating a Data Science Application on Python for Candidate shortlisting for the hiring industry using Pattern Recognition and Machine Learning techniques.
• Getting Insights for automated curation of candidates in the hiring industry using user attributes as data, and building a Machine Learning system to accurately classify candidates according to the user profile vs performance in the previous historical database.
• Generating human interpretable insights in the form of proper data visualizations which were easy to read and understand.
• Creating and Implementating a modified algorithm for Decision Trees, CART and Random forest which were suitable for the company's catagorical data, use cases and company requirements.
• Implementation of multi-variate decisioning system, rule based decisioning system together with machine learning to improve the performance.
• Normalising and cleaning of database using fuzzy logic and approximate string matching algorithms.
• Successfully deploying the application on Amazon Web Services(AWS).
• Key technologies - Python, Pandas, Sklearn, Numpy, Scipy, Spyre Framework in Python, Cherrypy, Matplotlib
• Key algorithms - Decision Trees, Random forest, ID3 Algorithm, Catagorical Variable Encoding

Jan 2015 – May 2015 · 4 mos

• Designed and implemented a personalized recommendation system using data science and
• machine learning algorithms on a user-product rating dataset.
• Obtained the ratings of the products which have not been rated by the users and the highest rated
• products were recommended for each user
• Built it using Collaborative Filtering Learning algorithm along with Gradient Descent algorithm to
• base the predictions for the current user on the ratings or behavior of similar users in the system
• Implemented the project on MATLAB with data taken from MySQL database

Sep 2014 – May 2016 · 1 yr 8 mos

• Involved in building fully automated high sharpe & diverse long-short Algorithmic Trading Strategies through pattern recognition, predictive modelling and extensive reading of the financial literature.
• Used advanced mathematical and statistical techniques to model and predict market movements
• Global Tier 1 consultant among 140+ consultants and received top Alpha of the month award twice
• Researched and implemented mathematical and predictive models of performing instruments like stocks, which can be simulated historically on technical and fundamental data
• Implemented these strategies on Python and expression based framework on the Websim platform

May 2014 – Jul 2014 · 2 mos · Pune/Pimpri-Chinchwad Area

• Developed a working prototype for the data product, Bentley Connect Interoperability Services
• Designed and implemented a web service that would be used to efficiently exchange, share and
• reuse related data between any two endpoints using Restful APIs
• Implemented functionalities to create new exchange jobs with the ability to edit and run the existing
• exchange jobs
• The application was written in ASP.NET MVC framework with the backend written in C# and the
• front end in HTML, Razor and Javascript

Jan 2014 – Mar 2014 · 2 mos

• Built a Handwriting Recognition System using regularized artificial neural networks (machine
• learning), Backpropogation algorithm to accurately predict the text of handwritten character images
• Successfully implemented it on MATLAB with an accuracy of 98% on test dataset

Aug 2013 – May 2016 · 2 yrs 9 mos

• Created and implemented strategies based on machine learning algorithms to predict market movements, that give high sharp ratio and excess returns.
• Compared the performance of algorithms based on neural nets, logistic regression and SVM.

May 2013 – Jul 2013 · 2 mos · Greater Indore Area

• Successfully created a general framework in numerical analysis for the computation of structured
• pseudospectra of matrix pencils
• Implemented a MATLAB program for the plotting the pseudospectra for each type of structured
• matrix discussed