About Me
3+ years of experience in Data Analytics and Machine Learning, delivering actionable insights for strategic decision-making. A Master’s Graduate and Data-Driven Professional, inspired by an internship at Flipkart (owned by Walmart), where I was selected from 20,000 applicants as one of 130 interns to optimize warehouse efficiency using data-driven solutions. This hands-on experience led me to self-learn Machine Learning, Statistics, and Data Visualization to tackle real-world problems. Now, I am eager to apply my expertise and passion to drive data-driven decision-making in the industry. 🚀
Skills
Experience
Education
- Programming Languages
Python, Java, R - Databases
MySQL, Excel - Data Science Toolkit
Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, spaCy, NLTK, Plotly, SciPy, Statsmodels, OpenCV, PySpark, Dask, SQLAlchemy, Flask, FastAPI, SHAP, LIME - Data Visualization
Matplotlib, Seaborn, Power BI, Tableau, Looker Studio - Machine Learning
Supervised Learning, Unsupervised Learning, XGBoost, LightGBM - Natural Language Processing (NLP)
NLTK, SpaCy, Hugging Face, YOLO, BERT - Deep Learning Algorithms
CNNs, RNNs, LSTMs, GANs, Transformers - Big Data & Cloud Technologies
AWS (S3, EC2, Redshift), Google Cloud (BigQuery), Hadoop, Spark - Deployment & MLOps
Flask, FastAPI, Docker, Kubernetes - Statistics & Mathematical Skills
Probability Theory, Hypothesis Testing, Bayesian Inference, Regression Analysis, Statistical Modeling, Time Series Analysis, ANOVA, Principal Component Analysis (PCA), A/B Testing
- Aug 2023 – Dec 2024 (Part-time)
AI/ML Engineer | Global IT Solutions Inc., McKinney, Texas - Project
SAP Build Process Automation - Technologies Used
SAP BTP, SAP BPA, SAP AI Core, SAP HANA, Process Visibility (Dashboard), NLP (BERT), OCR - Roles & Responsibilities
- • Automated invoice processing using OCR, AI Core, and NLP in SAP BPA, reducing manual effort by 80%.
- • Developed interactive dashboards and analytics, improving data visibility by 60% through SAP Process Visibility.
- • Optimized SAP workflows, enhancing process efficiency by 40% with AI-driven automation in SAP BTP.
- • Reduced data retrieval time by 50% using SAP HANA, ensuring faster access to critical insights.
- • Integrated SAP BPA with dashboards, enabling real-time tracking and reducing reporting time by 35%.
- • Improved document processing accuracy by 90% using AI-based extraction models in SAP AI Core.
- • Automated end-to-end invoice handling, cutting processing time from hours to minutes.
- • Collaborated with cross-functional teams, ensuring seamless integration and zero downtime deployment.
- • Enhanced workflow monitoring with predictive analytics, reducing errors by 25%.
- • Streamlined data flow between SAP BTP modules, improving overall system performance by 30%.
- Sep 2022 – July 2023 (Full-time)
Programmer Analyst Trainee | Cognizant Technology Solutions, Chennai, India - Skills Used
Power BI, SQL, Python, Pandas, NumPy, Excel, ETL, Machine Learning, Scikit-Learn, Data Analysis - Roles & Responsibilities
- • Designed a Sales Performance Dashboard in Power BI and SQL, improving decision-making efficiency by 40%.
- • Optimized ETL pipelines, reducing data extraction time from 2 hours to 30 minutes (75% improvement).
- • Analyzed customer purchasing behavior using Python, increasing revenue by 15% through targeted marketing.
- • Automated data cleaning & validation using SQL & Excel, improving accuracy by 98% & reducing manual efforts by 60%.
- • Developed predictive models using machine learning, reducing inventory costs by 25% and minimizing stockouts.
- • Implemented anomaly detection in sales data using Python, identifying fraud patterns and reducing losses by 20%.
- • Integrated real-time data streaming with Power BI, enabling 50% faster insights for business operations.
- Feb 2022 – July 2022 (Intern)
Data Analyst | Flipkart, Bangalore, India - Skills Used
Python, SQL, Excel, Machine Learning, Power BI - Roles & Responsibilities
- • Improved IPP (Item Per Person) by 15% using Python, SQL, and Excel, optimizing warehouse efficiency.
- • Designed a grid system, saving 20% of warehouse space with Power BI and data analytics.
- • Analyzed dock utilization using machine learning models, reducing turnaround time.
- • Developed a cost-effective supply chain network using lean methodology and data-driven insights.
- • Applied SQL and Python automation, enhancing speed, quality, and cost in logistics operations.
- • Designed and tracked Key Performance Indicators (KPIs) in Power BI, improving monitoring.
- • Conducted Root Cause Analysis (RCA) with data mining, identifying inefficiencies and solutions.
- • Provided executive updates using SQL-based dashboards, enabling data-driven decisions.
- • Optimized logistics planning using predictive analytics, reducing delays and improving workflow.
- • Automated data reporting with Python scripts, increasing accuracy and reducing manual effort.
- Aug 2023 - Dec 2024
Master of Science in Data Science | University of New Haven
GPA: 3.8/4.0
Honors/Awards: Awarded 30% Dean’s Scholarship - Aug 2018 - Aug 2022
Bachelor of Technology in Mechanical Engineering | Vellore Institute of Technology
CGPA: 8.67/10.0
Honors/Awards: Best Outgoing Student of the Year 2022 | 100% Scholarship at India’s No. 1 Private University
Selected by Top Companies: Flipkart, L&T Construction, Cognizant
