Abhishek Shambhu Resume

1. ABHISHEK SHAMBHU
abhishek.shambhu@gmail.com | 3022521369 | abhishekshambhu| AbhishekShambhu |
DATA SCIENTIST / SOFTWARE DEVELOPER
EDUCATION
George Mason University | M.S. Data Analytics Engineering | CGPA – 4.0 Aug 2018 – Present (Graduating in May 2020)
Mumbai University | B.E. Computer Engineering | Graduated with Distinction | CGPA – 3.8 July 2011 - June 2015
PROFESSIONAL EXPERIENCE
ANTHEM, INC. – INFORMATION TECHNOLOGY II INTERN + CO-OP June 2019 – Present
Data Quality Automation Project: Currently working on identifying the anomalies & incorrect association in provider
demographic data using Machine Learning, writing rules to automatically validate anomalies, data lineage (tracking the origin of
the issue by developing models and comparing data patterns) and resolving the identified defects through automation.
SYDNEY Conversational AI Chatbot: Collaborating with a team of 7 in building a Find a Doctor Healthcare Chatbot using React
Native and RASA NaturalLanguage Processing functionality.It mainly focused on entity extraction and identifying intent to provide
appropriate responses. It helped reduce time and ease the process of finding a doctor.
SYNTEL, INC. – DATA ANALYST + SOFTWARE DEVELOPER Nov 2015 - July 2018
Charles River Analytics Project: Provided effective insights to the management team by performing data extraction from
Informatica MDM and loading the data in Python / R to perform basic data preprocessing such as identifying missing/abnormal
data and reporting the accuracy of a drug using various Machine Learning models and visualizing the data in Tableau.
Development Projects: Developed and maintained Mobile Applications for the business team either by building up a completely
new application or enhancing existing applications. Projects include:
➢ Infoserve (Lync Chatbot Self-Serve Application): Single-handedly worked on updating the Infoserve data, creating an
automatedmonthlyreport ofthenumber of users using Infoserve,recoveryand migration of Infoservedatabase to server.
➢ Equip (Syntel’s Project Governance App): Mainly involved in UI enhancement of the application based on user stories
provided and writing Java Webservices, manual testing, packaging, and deployment.
➢ Sales KickOff (SKO 2017) & Discover Syntel (Syntel Insights App): Customized apps based on requirements and
packaged & delivered to the business teams.
➢ Snapbill (Syntel’s expense tracker app): Incorporated additional features such as remember credential functionality,
upload multiple images simultaneously and view uploaded images feature.
➢ TravelEasy and MyCab Mobile Application (Syntel’s Transport Applications): Built Java Web Services, UI designing,
and packaging of the applications.
➢ Spectrum Mobile Application: Introduced multiple new features such as creating Login Page with remember password
functionality, and packaging Spectrum website in Mobile Application.
ACADEMIC PROJECTS
SciCast Prediction/Replication Market Project (Data Analytics Capstone – Sponsored Project) Aug 2019 – Dec 2019
➢ Involved in improving the market forecasts by building forecasting models (simple average model, weighted average
model and ensemble models - which worked better than the original model) based on the SciCast data and publishing the
data, analysis, results, etc. on dashboard using Dash by Plotly.
Quora Insincere Questions Classification (Kaggle - Top 10%) Jan 2019 – Dec 2019
➢ Involved in textual data pre-processing using NLP libraries, word embeddings, n-grams, EDA and building classification
models such as Logistic Regression, Naïve Bayes, SVM, RNN, LSTM and GRU to perform classification of questions and
comparison of different models based on the model evaluation metric (F1 score).
Medical Cost Personal Datasets to predict the Insurance Costs (Kaggle – Top 5%) Sept 2018 - Dec 2018
➢ The project involved vast preprocessing of data, developing multiple machine learning models and creating a shiny
dashboard for the insurance companies for visualizing plots and estimating the insurance costs for new customers.
Decision Support System for Medical Diagnosis (B.E. Capstone) July 2014 - May 2015
➢ Built a decision support system that uses data analytics and mining techniques to guide medical practitioners/ doctors to
predict a certain disease before it occurs based on the patient's medical history/symptoms.
Other projects - Sentimental analysis on Twitter data, ELIZA chatbot Implementation, Web Scraping and MNIST Digit Recognizer
TECHNICAL SKILLS & EXPERTISE
➢ Programming Skills Python, R Programming, Java, Android, JavaScript, React Native, HTML, CSS
➢ DB & Analytics Tools MySQL, PostgreSQL, Oracle SQL/PL-SQL, Tableau, PowerBI, Informatica
➢ Libraries Pandas, NumPy, re, Matplotlib, Shiny, Plotly, randomForest, xgboost, nltk, sklearn, Keras
➢ Learning Methods Statistics, Predictive Analytics, Machine Learning, NLP, Deep Learning, Neural Networks
➢ AWS Skills Lex, Lambda, S3, EC2, EMR, DynamoDB, Polly, Comprehend
➢ Other Skills Bitbucket, Jira, ETL, Optimization, Shell Scripting, EDA
➢ IDE Jupyter Notebook, Spyder, RStudio, Android Studio, XCode, MS Visual Studio, Eclipse
HONORS & AWARDS
➢ Anthem Values in Action Award for Sydney Chatbot (August 2019).
➢ Syntel Spot Award for Discover Syntel and Sales KickOff (January 2017).
➢ Best project award for Decision Support System for Medical Diagnosis for the academic year 2014-15.