Business Intelligence Analyst

SRILEKHA GANGA

Email :********.*******@*****.*** Phone : 857-***-****

GitHub : github.com/srilekhaganga LinkedIn : http://www.linkedin.com/in/srilekha-ganga SKILLS SUMMARY

Programming Languages: Python, R

Databases: SQL (MS SQL Server, MySQL, SQLite)

Data Science Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Plotly, SciPy, NLTK Data Visualization Tools: Power BI, Tableau, Microsoft Excel, bi tools Tools: Docker, Jira, Machine Learning Algorithms, SAS,VBA, A/B testing, experimentation, customer journey analysis EXPERIENCE

Cambridge Premier Realty LLC July - Present

Business Intelligence Analyst Intern USA

• Built data models to identify trends in spending and customer behavior, enabling the business to optimize promotional strategies and improve customer targeting.

• Implemented data validation frameworks to improve data quality, achieving 99.9% accuracy in reports used for strategic decision-making and operational reviews.

• Partnered with cross-functional teams to integrate data from multiple sources, ensuring smooth data flow and consistent analysis across platforms and reducing data inconsistencies by 15%.

• Created KPI tracking dashboards enabling senior management to monitor performance metrics and drive strategic initiatives for problem solving

Northeastern University June 2025 - Sept 2025

Data Analyst USA

• Built automated analytics platform using Ollama and PostgreSQL data pipelines with n8n ETL workflows, delivering 3 faster insights generation and 40% cost reduction through real-time reporting dashboards.

• Developed machine learning lead scoring model using NLP and statistical analysis with PostgreSQL backend, achieving 15% conversion rate improvement through predictive analytics.

• Engineered scalable Docker-containerized data infrastructure with Ollama processing 90k+ data points/minute, delivering 28 ROI through predictive analytics and n8n-powered automation workflows. SP Software (P) Limited Jun 2020- Dec 2023

Database Analyst INDIA

• Developed and executed comprehensive training programs, boosting their proficiency in database optimization strategies, which contributed to a 30% faster resolution time for critical incidents.

• Supported continuous availability through coordinated 24x7 incident response efforts via Bridge Line calls, successfully resolving over 1,200 severity issues within targeted SLAs and improving overall service satisfaction ratings by 35%.

• Optimized databases backup configurations for a critical system, achieving a 99.9% success rate in backup verifications, which resulted in a reduction of recovery time from potential failures by 13% hence performance optimization.

• Collaborated with cross-functional teams to integrate data from diverse sources, ensuring data governance and seamless data flow and reducing inconsistencies by 15%.

PROJECTS

• PharmAssistant – GenAI Pharmacy Assistant (LINK): - Developed compliance-grade analytics system with regulatory accuracy standards, processing financial transactions and inventory data with 99.9% precision Built automated reporting pipeline reducing manual processes by 80%, demonstrating legacy system modernization data validation, and forecasting analysis to identify operational trends and support decision-making. Tech: Python, Data Analysis, Machine Learning, SQL, Statistical Modeling, ETL Pipeline (2025).

• Greater Boston Smart City Dashboard (LINK): Created stakeholder-focused dashboard analyzing performance metrics and KPIs across multiple data sources Developed real-time reporting solutions supporting strategic decision- making for municipal financial planning Tech: Python, Data Cleaning, SQL, Dashboard Development, Data Visualization, API Integration (2025).

EDUCATION

Northeastern University July 2024- Present Massachusetts, USA Masters in science – Data Analytics, Business Intelligence, Big Data, Artificial Intelligence, and Machine Learning, data governance

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