Rohan Yadav
Sydney
Summary
Motivated and detail-oriented data science professional with a strong technical foundation in machine learning, data visualization, and analytics. Seeking a challenging position to leverage my expertise in solving complex problems and driving data-driven decision-making.
Overview
3
3
years of professional experience
Work History
Data Migration Consultant / System Engineer
Tata Consultancy Services
02.2021 - 02.2024
- Designed and executed robust PL/SQL packages, procedures, views, and functions to support business objectives
- Led successful migration of large-scale databases from Oracle 11g to 19c, improving performance and scalability
- Automated report generation through scripts for creating PDF and CSV outputs, enhancing data accessibility
- Conducted data cleansing, performance analysis, and tuning for high-volume systems
- Implemented portfolio compression and holiday declaration codes to streamline operations
- Mentored and trained 8 junior team members, promoting best practices in coding and debugging
- Delivered end-to-end production support, including user administration, UAT, and system testing
- Recognized with Star of the Month Award (September 2023) and Best Team Award (December 2022)
Education
Master of Data Science and Innovation - Data Science
University of Technology Sydney (UTS)
Sydney, NSW02.2026
Bachelor of Engineering - Computer Science
K.C. College of Engineering & Management Studies & Research
Mumbai10.2020
Skills
- Programming Languages: Python
- Data Analysis and Libraries: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Scikit-learn
- Machine Learning: KNN, Random Forest, Decision Tree, Gradient Boost, Logistic Regression, SVC, Clustering
- Data Visualization Tools: Tableau, Power BI
- Databases: MS SQL Server, MySQL, PL/SQL
- Other Tools: Oracle 11g/19c, Streamlit, Git, Jupyter Notebooks, Excel (Advanced), Google Colab
Projects
- Osteopenia - Osteoporosis Risk Indicator
Built classification models (KNN, Random Forest, Decision Tree) to predict whether a patient has Osteopenia.
Analyzed model performance to identify the most accurate predictor for healthcare insights.
- Tech Layoff Analysis (2020-2024)
Created interactive visualizations using Tableau and Power BI to explore patterns in layoffs across technology companies.
Highlighted trends and actionable insights for data storytelling in business environments.
- Predictive Model for IPL Scores
Developed a predictive model using Linear Regression, Random Forest, and Gradient Boosting to forecast IPL scores.
Provided actionable insights to help coaches and captains optimize bowler selection strategies.
- Subscription Churn Analysis for a Streaming Company
Applied classification models (KNN, Decision Tree, Random Forest, SVC) to predict customer churn.
Identified key factors influencing churn, providing strategic inputs for retention campaigns.
- Salary Prediction Based on Education
Implemented regression models to predict candidate salaries based on educational qualifications.
Assessed the impact of different features on salary determination.
- Fraud Detection Among Different Age Groups
Leveraged classification, regression, and clustering techniques to identify fraudulent behaviour.
Delivered insights into fraud prevalence by demographic, improving risk mitigation strategies.
- Enhancing Marketing Campaigns with Machine Learning
Predicted customer responses using KNN, Random Forest, Naive Bayes, and Logistic Regression.
Improved campaign targeting and efficiency by analyzing key customer segments.
- Data Analysis Website Development
Designed and deployed a data analysis web application using Streamlit.
Enabled users to interactively explore datasets, visualizations, and predictive models.
Awards
- Star of the Month Award, 09/23
- On the Spot Award, 2023
- Best Team Award, 12/22
Timeline
Data Migration Consultant / System Engineer
Tata Consultancy Services
02.2021 - 02.2024
Master of Data Science and Innovation - Data Science
University of Technology Sydney (UTS)
Bachelor of Engineering - Computer Science
K.C. College of Engineering & Management Studies & Research
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