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Machine Learning, Data Scientist, Software Engineer, Python, Java

Tempe, AZ
March 12, 2020

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Email: Computer Science Cell Phone: 480-***-****

Github: LinkedIn: Graduate enthusiast with hands-on Software Development skills and knowledge in Artificial Intelligence & Machine Learning. Demonstrated analytical, problem-solving and communication skills with strong foundation in Mathematics and Statistics. EDUCATION

MS, Computer Science, Arizona State University. [GPA: 3.6/4] Graduating May 2020 BE, Computer Science and Engineering, Government Engineering College, Aurangabad. [GPA: 8.0/10] Aug 2014 – May 2018 WORK EXPERIENCE / PROJECTS

Quora Insincere Question Challenge: Python, TensorFlow, Keras Jan 2019 – May 2019

• Processed the dataset by removing the stop-words and performed stemming/lemmatization using the NLTK library.

• Compared the performance of various ML algorithms (15 variants) trained on this highly skewed dataset.

• Obtained the best Mean per class accuracy of 88.442% using weighted loss Linear SVM. Social SpamBot Labelling using Twitter Data: Python, HTML/CSS, JavaScript, D3.js, Bootstrap Aug 2019 – Dec 2019

• Preprocessed the data by removing the stop-words and stemming using NLTK python.

• Implemented Feature Selection and Extraction, Dimensionality Reduction, Topic Modeling, and Clustering.

• Generated interlinked dynamically updating charts (D3.js) to Visualize Data and draw meaningful insights. Berkeley Pacman Projects: Python Aug 2019 – Dec 2019

• Implemented DFS, BFS, UCS, A* search algorithms for an adversarial/stochastic search problem and path planning.

• Designed admissible and consistent heuristics, evaluation functions and policies for multiagent environment.

• Obtained a perfect winning score of 100/100 games using Q-Learning with a hand-designed reward function. Hot Spot Analysis using GeoSpark: Hadoop, Spark, GeoSpark, AWS EC2, Scala, Ganglia Aug 2019 – Dec 2019

• Calculated the Getis-Ord Statistics of the NYC Taxi Trip dataset using Scala.

• Implemented MapReduce to perform range and spatial join operation on the given points and rectangles dataset.

• Evaluated AWS EC2 instances using “Ganglia” and obtained the best performance to memory ratio with 8 cores. Staffing and Monitoring System (Internship): ASP.NET, C#, HTML/CSS, JavaScript, SQL Server May 2017 – June 2017 Infodart Technologies India Ltd, Videocon Group

• Created and deployed a web-based application to manage and track the deployment details of the consultants.

• Automated the process of filtering employees by suitable skills required for the client projects.

• Implemented MD5 encryption and RPC to store/retrieve sensitive information efficiently and securely.

• Decreased Manager’s workload by a considerable amount and increased efficiency and accuracy of decisions. Other Projects:

• Comparative study of Gradient Descent Algorithms

• Gesture Recognition using Deep Neural Networks.

• Digit Classification using CNN in TensorFlow.

• Complementary Propara dataset generation (NLP).


● Programming Scripting Languages: Java, Python, C, C++, HTML, CSS, JavaScript.

● Databases Tools OS: MySQL, Postgres, Tableau, Git, Windows, Unix/Linux, Microsoft Office Suite, MATLAB.

● Libraries: TensorFlow, Keras, Pandas, Matplotlib, Scikit-learn, Scipy, NumPy, D3.js, PyTorch.

● ML/DL Algorithms: Linear/Logistic Regression, Decision Trees, Naïve Bayes, kNN, K-Means, Random Forest, SVM, CNN.

● Concepts: Predictive Analytics, Feature Engineering, Bayesian Inference, Pattern Recognition, Data Mining, Boosting. ACHIEVEMENTS / CO-CURRICULAR ACTIVITIES

• Captained College Badminton Team at a National level Sports Fest, ZEST for 4 consecutive years during my Bachelors.

• Associated, volunteered and coordinated at events organized by Brahma Kumaris (UN recognized NGO) by doing Rajyoga Meditation for self-development, happiness, and world peace.

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