Data Python
Resume:
Harsh Shetty
Jersey City, NJ Linkedin ********@*******.***
EDUCATION Stevens Institute of Technology, Hoboken, NJ GPA: 3.84 Aug 2019 – May 2021 Master of Science in Business Intelligence and Analytics (Honors: Provost’s Masters Fellowship) Courses: Data Management, Experimental Design, Big Data, Advanced Analytics & ML, Process Optimization and Analysis Narsee Monjee Institute of Management Studies, Mumbai, India GPA: 3.62 Aug 2013 – May 2017 Bachelor of Technology in Electronics and Telecommunications Accomplishments: General Executive, Institute of Engineering and Technology (IET) SKILLS Core Competencies: Data Visualisation, Workflow Optimization, Advanced Statistics, Risk Analysis, Financial Planning, Design Thinking
Data Visualisation: Python (matplotlib, seaborn), Power BI, MS Excel (VBA), Tableau, Looker Data Analytics: Python (scikit-learn, numpy, pandas), PostgreSQL, MySQL, R Machine Learning Algorithms: Supervised Learning (Classification, Regression, Gradient Boosting), Unsupervised Learning
(Clustering, Anomaly Detection), Associative Learning (Word2Vec, APriori) Data-driven Skills: Text and Data Mining, Natural Language Processing EXPERIENCE Cuemath, India Feb 2019 – Aug 2019
Sales Operations Analyst
● Trained and onboarded 215 teaching professionals onto the company portal and data tracking systems
● Aggregated information based on individualized interactions with 440 parents on a monthly basis
● Analyzed data generated using cognitive surveys to understand student requirements
● Developed sales forecasts by performing regression analysis in Excel with an error margin of 11%
● Restructured the on-boarding and customer success process through data-driven decision making to reduce overheads by 8%; achieved lowest ever bi-annual customer churn of 19% and highest retention rates for larger customers Endurance International Group, India Sept 2017 – Oct 2018 Senior Business Analyst
● Analyzed historical pipeline snapshots to generate a dynamically scalable forecast model based on marketing lead data
● Collaborated with cross-functional departments to increase efficiency by 14% while maintaining costs relatively flat based on a hypothesis model created through 24 months of legacy data
● Interacted directly with over 15 high-value customers to understand key pain points and recommend corrective action while maintaining current engagement levels ACADEMIC
PROJECTS Covid-Gossip Python Power BI Dec 2020 – Feb 2021
● Created a Word2vec model to gain insights about Covid with associative learning
● Mapped closest words to pivotal tweets and studied recent trends
● Discovered strong associations with an average confidence of 91% for Covid-related keywords
● Produced a Machine Learning based skeleton for future implementation of association based natural language processing Industry Sponsored Project - Anchor Therapy, LLC Python Power BI Sept 2020 – Dec 2020
● Devised key marketing-strategies to deliver optimal solutions, maximize public interest and increase client base
● Trained a Long Short Term Memory (LSTM) model-based Seq2seq model to predict decoder outputs
● Analyzed twitter posts in the surrounding 3-mile radius using the Twitter API - Tweepy
● Validation accuracy score of the models with an epoch score of 50 was determined and found to be working well Twitter Analysis on Election Sentiments Python June 2020 – Aug 2020
● Formulated an information retrieval and classification system for sentiment analysis on Twitter
● Aim was to determine whether a particular county was favorable to the Democrats or the Republicans
● Cleaned, parsed and segmented tweet contents using regular expressions, natural language processing and text blobs
● Analysis of 7 counties generated a 93% confidence positivity index suggesting other factors were also in play
Contact this candidate