1. ADT Security Services Inc | Data Scientist

Boca Raton, FL, USA

Led end-to-end development of customer propensity modeling.

Engineered 50+ features from customer interaction data.

Implemented ensemble models achieving 85% prediction accuracy.

Resulted in 200% increase in email CTR and $150K annual savings.

Deployed model serving 100K+ customers monthly.

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Skill Gained: Data Analysis, Machine Learning, Feature Engineering, Model Deployment

Tools Used: Python, BigQuery, SQL, Tableau, Ensemble Models

2. Quantiphi Analytics Solution (Data Engineer Intern)

Bangalore, India

Led successful analysis and management of an extensive data set encompassing 4,000,000+ entries, with a sharp focus on optimizing Export and Import processes.

Effectively employed Snowflake to seamlessly load data into designated tables during the staging process, establishing a robust connection with Informatica that resulted in a notable increase of 60% in data processing speed.

Employed Informatica’s ETL process to rectify data inconsistencies, increasing efficiency by 50%.

Seamlessly connected transformed data to Tableau, elevating performance by 30%, showcasing my prowess in optimizing processes and data integration.

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Skill Gained: Data Analysis, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Cloud Computing, AWS

Tools Used: Tableau, Excel, Snowflake, Informatica, EC2(Elastic Compute Cloud), S3(Simple Storage Service), IAM(Identity and Access Management), Amazon ElasticCache

3. Microsoft Research India, Narendra Summer Intern Scholar at the IISC(Indian Institute Of Science), Bengaluru, India

Crafted an innovative solution for conducting auctions, eliminating the need for a trusted setup, thereby enhancing security and transparency

Introduced a groundbreaking concept: a Blockchain-based bulletin board, surpassing existing decentralized alternatives in efficiency by an impressive 220%

Skills Gained: Ethereum 2.0 (The Megre), Consensus Mechanisms (PoW, PoS)

3. ITC INFOTECH (NLP Intern)

Bangalore, India

Spearheaded Sentiment Analysis on customer data across distinct premium ITC hotel Data Sets, yielding valuable insights.

Transformed a substantial 90% of the Data Set using advanced techniques, including Tokenization, Stop Word Removal, Stemming, and Lemmatization, enhancing data quality and analysis.

Leveraged cutting-edge ML-based Algorithms like Logistic Regression and Multinomial Naive Bayes to attain an impressive accuracy of 94%, significantly elevating the precision of sentiment prediction .

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Skill Gained: Use of Python based Notebooks, Sentiment Analysis, Word Embedding Techniques, Convulusional Neural Networks

Tools Used: Jupyter Notebook, Google Colaboratory, Excel