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Data Science with 3+ years in ETL & Business Intelligence
Results-driven Business Data Analyst with 2+ years of experience delivering scalable ETL solutions, data analytics, and business intelligence projects across enterprise environments. Completed MSc in Data Science from Coventry University with strong academic foundations in machine learning, deep learning, statistics, and predictive analytics. Professional experience at I-Cube Software LLC working on end-to-end ETL development using Informatica PowerCenter and Snowflake cloud data warehouse solutions. Skilled in SQL for complex querying, data transformation, performance optimisation, and relational database management to support business reporting and analytics. Proficient in Python using Pandas, NumPy, Scikit-Learn, Matplotlib, and Seaborn for data cleaning, exploratory analysis, machine learning, and visualisation tasks. Experienced in designing interactive dashboards and reports using Tableau and Power BI to deliver actionable insights and KPI-driven decision-making. Strong understanding of Machine Learning and Deep Learning techniques, including Regression, Classification, Clustering, Decision Trees, Random Forest, KNN, SVM, ANN, CNN, and RNN models, with hands-on experience using TensorFlow and Keras for building, training, and evaluating predictive models for real-world analytical problems.Strong knowledge of statistical analysis including hypothesis testing, probability distributions, sampling methods, correlation analysis, and model evaluation techniques. Experienced in data wrangling, feature engineering, preprocessing, and model optimisation to improve analytical accuracy and business outcomes. Knowledgeable in Natural Language Processing (NLP), predictive analytics, and time-series forecasting techniques for business intelligence applications. Familiar with Big Data technologies such as Hadoop and Spark along with distributed data processing fundamentals. Collaborative team player experienced with Git and GitHub for version control, project collaboration,
Sou. Venutai Chavan Polytechnic
Diploma · Mechanical Engineering
N/A – Present
Coventry University
Masters · Data Science
N/A – Present
NBN Sinhgad School of Engineering
BE · Mechanical Engineering
N/A – Present
I-Cube Software LLC
Business Data Analyst
October 1, 2022 – January 1, 2025
India
Cap Gemini
Business Analyst
June 1, 2021 – September 1, 2022
India
Cultural Fit Analysis
The candidate's experience across different companies (I-Cube Software LLC, Cap Gemini) and exposure to various tools (Informatica, Snowflake, Tableau, SQL, Python) indicates adaptability and a willingness to learn new technologies. The pursuit of a Master's in Data Science after a Mechanical Engineering background shows initiative and a strong drive for career transition, which aligns well with a growth-oriented culture. The stated goal of seeking opportunities in the UK suggests a clear career path and commitment.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills, as evidenced by working with cross-functional teams and stakeholders. The resume highlights a results-driven approach and a focus on delivering scalable solutions. Experience with Agile methodologies suggests adaptability in operational environments. However, specific examples of problem-solving under pressure or conflict resolution are not provided.