HIMANSHU JAT

**** ********* ***, ***-****, Philadelphia PA 19104 • 267-***-**** • adnpsl@r.postjobfree.com • www.himanshujat.com PROFESSIONAL SUMMARY

• 3+ years of hands-on experience with Python, R, SQL, Tableau, Big Data, AWS and Data Science

• Analyzed data using Python, R, SQL by querying structured and unstructured databases

• Proficient in designing machine learning models with Python programming language

• Extensive experience of working and developing in UNIX environment such as Ubuntu

• Theoretical and practical understanding of Linear Algebra, Statistics, Neural Networks and Algorithm Development

• Working experience with Machine Learning, Deep Learning and Artificial Intelligence SKILLS

Programming Languages: Python, R, DOMO

Databases: SQL, MongoDB, Microsoft SQL server, MySQL, PostgreSQL, SQlite3 Libraries: Pandas, Numpy, Scipy, Scikit-learn, Flask, Django, Tensorflow, Keras, PySpark, OpenCV, Weka Data Science: Feature Engineering, Dimensionality Reduction, Outlier Detection, Hyperparameter Tuning Machine Learning: Supervised and Unsupervised ML, Regression, Classification, Clustering, CNN, RNN, Matlab Statistical Techniques: PCA, Hypothesis Testing, Time Series Analysis, F-test, ANOVA, A/B testing, MS Excel Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly, Google Analytics Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure Soft Skills: Excellent Communication, Problem Solving, Research, High Quality, Integrity Skills, Organization, Critical Thinking, Passion, Collaborate, Presentation Skills PROFESSIONAL EXPERIENCE

Verif-y Inc, Philadelphia, PA June 2020 – December 2020 Data Analyst Intern

• Developed a chatbot and integrated this to the company’s website, which enabled the company to handle several customer inquiries in a short period of time. This resulted in maintaining high quality customer service while generating approx. ~$50K per annum through staff reduction.

• Enabled the company to gather relevant business insights through chatbots, which improved their data analysis.

• Created a credit card scanning with 95% accuracy for Western Union for better fraud detection and security.

• Performed an anomaly detection using credentials ranking to identify important data points and critical incidents essential in developing new process improvements that drive customer success.

• Designed and implemented OCR with 99% of accuracy for automatic document parsing, which streamlined internal processes. Enabled the company to cut costs by 20% for document examinations. Upwork Inc, Santa Clara, CA January 2018 – September 2019 Data Scientist Freelancer

• Developed a data science pipeline for a client to improve their service quality impacting customer retention, which generated a total of $250K.

• Established an image clustering portal for photographers to consolidate images effectively and efficiently. Enabled photographers to save ~20 hours of work per shoot, which is equivalent to $35K savings per annum.

• Utilized in-depth machine learning expertise to accurately identify the potential causes of employee attrition.

• Created 300+ video tutorials and a data science book that spread awareness on multidisciplinary technical learnings. EDUCATION

MS in Data Science, Drexel University, Philadelphia, PA Graduated in July 2021 GPA 3.9 BE in Computer Science, Acropolis Institute of Technology and Research, India Graduated in June 2019 GPA 3.7 Machine Learning, Stanford University (Coursera) Certified in February 2018 100% Data Science Certification, TopGrads Certified in June 2021 100% ACADEMIC PROJECTS

Amazon Go – Customer enters a store, shops and just GO! (2021) Successfully replicated the Amazon Go with over 90% accuracy using a single camera on each shelf, which will save $40K per state for reducing the number of cameras. Created charts and graphs using Tableau for visualizing the results. Stock Price Prediction – Predicting Stock Prices using Sentiment Analysis of Tweets and News Articles (2020) Developed a system with 70% accuracy that analyzes the sentiment of news articles and Twitter tweets to predict whether the stock prices of Fortune 500 companies will go up or down. Used PowerBI to plot word clouds of frequently used words in the text. FasTest – Disease Prediction Using Retinal Scans (2019) Predict the risk of cardiovascular disease by retinal scans using a mobile phone camera and an external lens. FasTest was the top 100 ideas of India in the TCS EngiNX competition.