Business Intelligence Analytics

SAI BHARGAVA RAM RANGAPPAGARI

*************@*****.*** 617-***-**** Linkedin.com/Bhargava-ram7 Boston, MA

CAREER OBJECTIVE

Aspiring for a data-driven role, currently pursuing Masters in Business Analytics at Suffolk university, specializing in predictive analytics, data modelling, and business intelligence. With 2.7 years of professional experience expertise includes data collection, modelling, reporting, and performance analysis, documentation.

EDUCATION

MS in Business Analytics (DATA Science concentration) 3.87 CGPA Suffolk University Boston, MA Dec 2025

Relevant Courses: Data Analysis for Business, Database Management Systems, Predictive Analytics,

Financial Analytics, Business Intelligence, Machine Learning

Master’s in Electrical Power Systems (Part-time) SITS Kadapa, India Jun 2022-May 2024

Bachelor’s in Electrical and Electronics Engineering SVEC Tirupati, India Jun 2017-May 2021

TECHNICAL SKILLS

Programming Languages

:

Python, SQL, C, C++, FDS

Database Technologies

:

MS SQL Server, MySQL, Oracle, PostgreSQL, Mongo DB

Visualization & BI Tools

:

Tableau, Power BI, Looker, Advanced Excel, Lucid Chat

Python Libraries

:

NumPy, Pandas, Keras, Scikit-learn, Matplotlib

ML Algorithms

:

Linear Regression, Random Forest, Support Vector Machines, K-Means Clustering, Principal Component Analysis, XGBoost, Gradient boosting

Certifications

:

Certification in PLC and SCADA, Certification in Electric cars design

PROFESSIONAL EXPERIENCE

- Suffolk University Boston, MA Research & Teaching Assistant Sep 2024 - Present

Conducted research on data utilization in organizational decision-making

Showcased how data-driven decision-making can drive strategy and growth opportunity.

SAP Course Facilitator: Assisted in SAP courses for student learnings and class activeness.

ESSAR Power & AM/NS India Business Analyst (Asst Manager) Dec 2021- June 2024

2.7 years of experience at ESSAR & AMNS India in data-driven decision-making.

Successfully implemented cost-saving fuel-cutting solutions, earning a Kudos award.

Achieved a 6% reduction in logistics costs for 230KV operations

Utilized data analytics to optimize processes, reducing unplanned maintenance by 20%.

Improved equipment reliability and enhanced operational planning for better efficiency.

PROJECTS

Predicting Obesity Levels Using ML Python, Tableau, SQL Sep 2024 - Dec 2024

Conducted EDA on a dataset of 17 features to Identify out the main factors of obesity levels.

Implemented and evaluated ML models, achieving high accuracy in predicting obesity categories.

Applied standardization and SMOTE to address class imbalance, improving model performance.

Supermarket Sales Analysis Data Analytics, Python, Power BI, SQL Sep 2024 - Dec 2024

Identify factors influencing sales performance across branches.

Used CRISP-DM framework for data analysis and modelling.

Customer demographics and product preferences significantly impact sales.

UK Power Consumption Analysis Advanced Excel Sep 2024 – Dec 2024

Analysed UK power trends, identifying peak/off-peak usage with pivot tables and formatting.

Visualized seasonal patterns using dynamic charts based on actionable insight.

Found correlations in usage through SUMIF, COUNTIF, and validation, making reports easier.

LEADERSHIP AND ACHIEVEMENTS

Led for a committee in college fest, managing a team of 30 students

Served as Asst Manager, Overseeing a team of 4 engineers, 8 technical team.

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