ad29ym@r.postjobfree.com + 341-***-****

LinkedIn GitHub Boston, MA

Education

Master’s in Information Systems (GPA: 3.7) Dec ‘23 Northeastern University, Boston, MA, USA

Coursework: • Data Science • Computer Vision • Advanced Data Science • Big Data Systems and Intelligence Analytics

• Machine Learning • Database Systems

Master’s in Economics Dec ‘19

Australian National University, Canberra, ACT, Australia Coursework: • Econometrics • Statistics for Business and Finance • Optimization for Economics and Finance

• Business and Economic Forecasting

Bachelor of Computer Science Engineering May ‘16

Vishwakarma Institute of Technology, Pune, India

Coursework: • Business Analytics • Data Structures • Algorithm • Interpersonal Skills • Communication skills Technical Skills

■ Languages: • Python3 • SQL • HQL • R • Java • Shell • C • MATLAB

■ Web Development: • HTML5 • CSS • JavaScript • Node.js • React • Typescript

■ ML/Data Analysis: • NumPy • SciPy • Pandas • PyTorch • matplotlib • Seaborn • scikit-learn • Logistic Regression

• Decision Trees • K-means clustering • Naïve Bayes • KNN • SVM • CNN • Keras • TensorFlow

■ Platforms: • S3 • Hive • Kafka • Snowflake • PowerBI • SageMaker • MongoDB • Django • Terradata

• Lambda • EC2 • Airflow • Git • Docker • Jenkins • Tableau • Excel

■ Databases: • MySQL • PostgreSQL • MongoDB • SQLite • NoSQL Work Experience

Specsavers, Australia: Aug ’18 – Oct ’21

Data Engineer (Python3, SaaS, Snowflake, AWS, SQL, Kafka):

■ Worked on building exception management services for the internal stakeholders to manage by exception and reduce the number of errors in deliveries significantly by detecting and resolving them in real-time.

■ Engineered scripts to automate the data pipelines which would reduce manual efforts and increase the data pipeline’s reliability by a significant margin.

■ Led a team of 5 to build integrated intelligence for customer communications & developed a Python3 framework to maintain data integrity on Kafka (~80% increased data processing rate)

■ Constructed backend for Specsavers Artificial Intelligence-based assistant (chatbot) in Node.js & MongoDB. Leveraged Scrum

(agile methodology) for clear communication between the team members

■ Developed a Python3 tool to generate SQL queries as per the requirements of data engineering team, reducing manual efforts. (OOAD, CI/CD, iterative development, pair programming) Alpasara Finvest, India: Nov ’17 – Feb ‘18

Financial Analyst (Python3, R, SQL, Tableau):

■ Designed and implemented financial models, forecasts, and budgets, enabling senior management to make informed business decisions, and met key performance indicators.

■ Optimized profit forecasting by implementing Monte Carlo Simulation in R, achieving a 15% accuracy improvement in investment decision-making.

■ Made suspicious activity report (SAR) filing 25% faster by developing a Python, Teradata & Tableau based credit card fraud detection tool and identified fraudulent transactions using random forest.

■ Enhanced database functionality and performance using SQL Server and PL/SQL creating objects like Tables, Views, Indexes, etc. Implemented robust error handling, contributing to 20% improvement in query and procedure performance. Bhawana & Bhavana Constructions, India: June ’16 – June ‘17 Data Analyst: (Python, SQL, Snowflake, Tableau, RedShift)

■ Achieved retention of ~200K USD annually by building data warehouse for entire data (~300 TB) in RedShift.

■ Attained an ~75% increased data processing rate by building a data warehouse in Snowflake and developed Tableau dashboards for insight generation.

■ Led a team of 3 to help analytics division to identify potential buyers by implementing user behaviour-based segmentation.

■ Achieved an increase of ~7.5% valuation in sales by building a K-means clustering model in R & Python to categorize users for generating insights.

■ Orchestrated cross-functional teams to implement data-driven solutions resulting in 20% reduction in costs. Academic Projects

■ BiteBuddy- Dish Recommendation – Predictive models • Palm2 • HuggingFace transformers • Snowflake • RAG • APIs • Gemini

■ Image Caption Generation – CNN • ResNet • GRU • BLEU score comparison • Deep Learning • Algorithms • NLP

■ Disease Prediction – Classification (CNN, KNN & SVM comparison) • Decision Tree • PowerBI • Random Forest

■ Peticure – JavaScript • CSS • HTML • Redux • Nextjs • Expressjs • Nodejs • REST APIs • React

■ Ad-Vantage –ChatGPT 3/4 • Docker • AWS (CloudWatch, S3, EC2) • Fast API • Streamlit • PowerBI • Airflow Bhakti Ukey

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