MR. HITESH HINDUJA
A 22 year old Data Scientist with a strong background in Mathematics and Computer Science and experience in Data Analytics, Visualization, Data mining, Statistics and Machine Learning. Open to learning and taking new challenges in Data Analytics and Machine Learning. Inclined towards R&D, Ideas, Innovation and Entrepreneurship.
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Passionate about teaching and Mentoring. Currently working as a Data Scientist in Accenture. Also currently a trainer at IMS for CAT, GMAT, GRE and various competitive exams.
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1) Big Mart prediction challenge Developed predictive model and found out the sales of each product at a store. Used PCA and decision trees. To improve performance PCA and Random forests was used.
2) Big Mart sales III prediction challenge Developed a predictive model by using ensemble of 4 GBM models. Secured Rank in Top 100 out of total participants.
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3) Mini Data Hack- Time series Forecasting Used ensemble of XGBoost model and Lasso regression model for performing predictions on time series data set. Also used prophet model in this competition. Secured Rank in Top 50.
4) Text Transcription using OCR Transcripted images with handwritten text into document using SVMs and OCR.
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5) Analyzing Cricketers Data Worked on data sets of cricketers by extracting data using Regex from espn.crickinfo and performed analysis using R, Tableau and excel.
6) Chrysalis Use-case for analyzing Facebook data for an event using Hadoop. Used Hive to store data and performed complex queries.
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7) ERP system & Data Analysis for Printing Industry Developed ERP system for printing industry and dashboards using Microsoft Excel.
PROJECTS
PUBLICATIONS
1) Blockchain in Supply chain, an anti-counterfeiting solution
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2) Rate of Penetration Prediction using K-means and Ensembles, a machine learning approach This paper is internal paper based on my completed asset in Accenture.
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3) Artificial Intelligence in Refinery Economic planning and Back casting This is the internally published white paper in collaboration with Managing Director in Accenture on my completed asset.
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4) Big Data-Hadoop Duo in Health-Care This paper is now published in International Academy of Engineering and Medical Research (IAEMR).
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5) ERP System for small and medium sized Printing Industries Presented B.E. Project Paper in conference ICCCV 2017 held on Feb 24, 25 and now published in International Organization of Scientific Research (IOSR).