Associate-Projects (Data Scientist)

Cognizant

1. • Reducing data ingestion latency by 30% by developing scalable data pipelines for real-time data processing using Dataiku-DSS.
2. • Achieved 90% accurate model prediction results by focusing on feature engineering using VIF (Variance Inflation Factor).
3. • Reduced the data processing costs by 15% by implementing optimized queries. Helped AbbVie in cost optimization.
4. • Reduce Solution run time by 80% on production By deploying scalable machine learning model using python & SQL.
5. • Produced ad-hoc reports and dashboards to communicate insights to cross-functional teams using Tableau.

Data Scientist

ABBVIE INC

1. DQM-AIML (ABBVIE INC.) | Domain: Healthcare | Tech Stack: Python, SQL, R, Dataiku, NLP & Machine Learning
2. • Project for AbbVie Inc. To solve Various Business Problem. Such as Sales Prediction & Inventory Optimization
3. • Reduced data processing cost by 40% by optimizing the queries. Reduce Solution run time by 80% on production.
4. • Developed & tested over 40 Machine learning algorithms.

AdOps Specialist

ZYPMedia India Pvt. Ltd

1. • Developed K-Means and Hierarchical clustering model for Sinclair broadcast group using Python & Machine Learning.
2. • Enhanced precision score by 8% by hypothesis testing, feature selection, k-fold cross-validation, and LSTM.
3. • Achieved 20% increase in predictive accuracy for customer churn prediction model by testing ML model on different datasets.
4. • Collaborated in building dashboards and reports to enable informed decision-making utilizing Tableau.

Junior Data Scientist

Unique Technomech Pvt. Ltd

1. • Cleaned 15 GB of unstructured marketing data to eliminate campaigns based on spending patterns with expenditure above 75% and
2. reach less than 10% using Python & SQL.
3. • increasing productivity by 38% by Building SQL scripts using Big Query (GCP) to create views and reports for in-depth analysis,.
4. • Created logistic regression, tree-based ensemble models, XGboost, and neural network to forecast churn using customer insights.
5. • Utilized user behavior and Pay-per-click to identify KPIs and develop targeted campaigns to improve customer engagement.
6. • Yield a 20% increase in campaign effectiveness by Designing strategic dashboards to suggest effective advertising methods.

Data Analyst

Sygnius Ventures Pvt. Ltd

1. • Designed a customer segmentation model using k-means that improved customer targeting and a 15% increase in conversion rates.
2. • Developed gradient boosting, decision trees, and SVM to predict potential clients, resulting in a 10% increase in ROI.
3. • Deployed a web app using Heroku and generated 5 dashboards to identify trends and patterns, yielding an 18% increase in clients.

Clarkson University

Applied Data Science & Machine learning

Kota University, Kota

Science & Mathematics