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Research Assistant Resume

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SUMMARY

  • 2 years of experience in ETL, Data Analytics and Predictive Modelling to drive business impact.
  • Strong background in developing and deploying predictive models using Machine learning and Data Mining.
  • Experienced in Object - Oriented Programming, Computer Vision, Artificial Intelligence, and Data Visualization.

TECHNICAL SKILLS

Machine Learning Skills: Regression (Ridge, Logistic), LDA, Naive Bayes, SVM, Random Forests, Recommender Systems, Artificial Neural Networks, Deep Learning, Boosting, Bagging, Natural Language Processing, A/B testing, Clustering, Data Visualization, Principal Component Analysis, Cross Validation, Gradient Boosting, Time Series Analysis, Sentiment Analysis.

Data Science Libraries: Python scikit-learn, numpy, pandas, scipy, jupyter, nltk, TextBlob, matplotlib, seaborn, keras, TensorFlow, ANN, CNN; R dplyr, tidyr, ggplot2, shiny, tidytext, forecast.

Big Data Ecosystem: Hadoop, HDFS, MapReduce, Apache Spark (PySpark), MongoDB, Hive.

Computer languages: Python, MATLAB, R, C++, MySQL, Java, CUDA C, OpenCV, ROS.

Web Technologies: HTML, CSS, JavaScript, D3.js, RESTful web services.

Tools: Tableau, ggplot, Amazon Web Services, Google Charts, Informatica ETL, Git, Vim, Shell scripting, Latex.

PROFESSIONAL EXPERIENCE

Research Assistant

Confidential

Responsibilities:

  • Developed a Video Search Engine with a built-in Recommender System
  • Pre-processed 64 Human Motion videos into matrix representations of features per frame.
  • Extracted the video features (Histogram, SIFT and motion) from a large video dataset and performed dimensionality reduction (PCA and K-means) on the features, classification, and clustering.
  • Developed algorithms to perform similarity search, subsequence search and Locality Sensitive Hashing search to efficiently recommend the 5 most similar video sub sequences to a given input subsequence.

Big Data Trainee (Hadoop and Java)

Confidential

Responsibilities:

  • Assessed Healthcare data POC to provide big data analytics for health researchers and practitioners.
  • Extracted unstructured data from multiple sources and transformed data of 40 dimensions to structured format.
  • Created visual reports in Tableau of different health problems of patients against age, gender, and intensity.

Data Analyst Intern

Confidential

Responsibilities:

  • Created a web application using HTML that analyses MySQL database to improve user navigation in a website while minimizing the altercations to the current site.
  • Developed a mathematical program in Java to implement a recommendation system within the application that suggests web results based on web transformation and web personalization concepts.

Robotics Software Intern

Confidential

Responsibilities:

  • Built autonomous robots using AVR microcontrollers (AT mega 16 and 32) based on ARM architecture.
  • Developed object tracker and avoider, line follower, edge detector, Bluetooth, and keyboard controlled robots, using ADC sensors (IR, ultrasonic, sound detectors, etc.), DTMF, and UART.

Business Data Analyst

Project Parivartan

Responsibilities:

  • Pre-processed and conducted Exploratory Data Analysis on sales and sponsorship data in Python.
  • Applied regression and SVM models to understand customer behaviour patterns and predict magazine sales based on university admission data, student demographics, occupation, age, and gender.
  • Developed cluster analysis (K-means) models for customer segmentation to improve sales (by ~700%) by analyzing customer behavior, and market segmentation based on size of business, geography, income level, and age to gain more advertisement money (by ~3000%) in 18 months.
  • Implemented demand forecasting and time forecasting models and contributed to business development which improved forecast accuracy and reduced supply chain inefficiencies.
  • Led a team of 15 to halp the company spread its market to other cities and developed pricing strategies to increase the profits and assist marketing with user outreach strategy.

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