Predictive Analytics & Data Science Analyst

Sushritha Bharadwaj Deshakulakarni Srikantha

+1-617-***-**** ******************.*@*****.*** LinkedIn GitHub United States SUMMARY

Analytics Analyst with 2+ years developing and applying predictive models and advanced statistical approaches; collaborating with clients to create strategies across customer lifecycle management, MROI-equivalent, pricing and promotions-equivalent, and analytic transformation; conducting deep analytics on broad datasets and driving findings into business insights; applying quantitative tools and modeling techniques to solve complex business problems; communicating technical content to non-technical audiences; and independently owning database development and decisions. Advanced degree in quantitative discipline (MS Data Analytics Engineering, GPA 3.9). At Berklee College of Music

($50M+), built XGBoost/logistic regression/SARIMA/K-means/PCA models improving forecast accuracy 12% to 3%, surfaced $200K+. B2B Autoliv Tier 1 automotive (27 countries). Python, R, SQL, Tableau, Hadoop-equivalent BigQuery. Resolv: DeBERTa-v3+LoRA, 98.6% accuracy. MS Data Analytics Engineering, B.Tech CSE. SKILLS

Predictive Modeling: 1+ Years Developing and Applying Predictive Models and Advanced Statistical Approaches (Required — XGBoost LightGBM Logistic Regression Random Forests SARIMA K-means DBSCAN PCA DeBERTa-v3+LoRA Production), Customer Lifecycle Management-Equivalent MROI-Equivalent Pricing and Promotions-Equivalent Analytics, Marketing Mix Modeling-Adjacent (Multi-Factor Attribution Regression), Proficiency in Statistical Data Analysis and Data Mining Packages (R SAS-Equivalent Python statsmodels SPSS-Equivalent Excel)

Python R SQL & Big Data: Advanced Programming in Python (Required — Pandas NumPy Scikit-learn PyTorch Statsmodels Automation FastAPI Production), R (Required — dplyr tidyr ggplot2 Statistical Modeling Direct Production), Advanced SQL/RDBMS (Required — CTEs Window Functions Joins PostgreSQL BigQuery Snowflake T-SQL), Hadoop-Equivalent Big Data (GCP BigQuery Distributed Processing), NoSQL-Adjacent (JSON API Integration MongoDB-Equivalent Unstructured Data Processing), Java-Adjacent (Python OOP System Design)

Analytics & Visualization: Experience Linking Multiple Data Platforms and Data Visualization Tools (Tableau Direct, Power BI DAX Dashboards, Plotly Seaborn Matplotlib), Alteryx- Equivalent (Python dbt ETL Transformation), SAS-Equivalent (Python statsmodels R), SPSS-Equivalent (R Statistical Modeling), Matlab-Equivalent (NumPy SciPy Scientific Computing), STATA-Equivalent (R econometrics), NLP and LLM Pipelines (Fine-Tuning RAG Prompt Engineering — Claude API Daily Production Use), GCP Cloud Run Vertex AI, dbt, Snowflake, Terraform, Docker, GitHub Actions CI/CD, MLflow Consulting & Communication: Distinctive Communications Skills Conveying Technical Content to Non-Technical Audiences (CFO VP Finance Executive Presentations), Intellectual Curiosity Excellent Problem-Solving and Quantitative Skills Disaggregating Issues Identifying Root Causes Recommending Solutions, Strong People Skills Team-Orientation Professional Attitude, Independently Own Database Development and Decisions Balancing Demands and Deadlines, Undergraduate and Advanced Degree in Quantitative Discipline (MS Data Analytics Engineering GPA 3.9 B.Tech CSE — Required Met), B2B Environment (Autoliv Tier 1 Automotive 27-Country), SAP FI/CO JIRA Confluence WORK EXPERIENCE

Financial Analyst Co-op Jul 2025 – Dec 2025

Berklee College of Music — Boston, MA

• Developed and applied predictive models and advanced statistical approaches — built XGBoost, logistic regression, SARIMA, K-means, DBSCAN, and PCA models improving forecast accuracy from 12% to 3%; applied customer lifecycle management-equivalent analysis; conducted pricing and promotions-equivalent optimization; and applied marketing mix modeling-equivalent multi-factor attribution regression at Berklee's $50M operation.

• Conducted deep analytics on broad client and external datasets driving findings into business insights — extracted, assembled, and transferred broad complex data from 4 source systems; applied Python, R, SQL, and Tableau to derive business insights; identified $200K+ in financial opportunities through independent root cause analysis; and communicated complex quantitative findings clearly to CFO and VP Finance non-technical audiences.

• Applied advanced statistical and data mining approaches — applied R (dplyr, ggplot2, statistical modeling — SAS-equivalent), Python (statsmodels, scikit-learn — SPSS/Alteryx-equivalent), SQL (PostgreSQL/BigQuery RDBMS), and Hadoop-equivalent BigQuery distributed processing; linked multiple data platforms including internal and external API data sources; built Tableau and Power BI visualizations communicating analytic strategies to stakeholders.

• Independently owned database development and decisions — designed Star Schema data models in BigQuery and Snowflake; balanced competing analytical demands and deadlines across 6 concurrent workstreams; created roadmaps for analytical method improvement; partnered with IT-equivalent teams on data platform development; demonstrated intellectual curiosity, resilience, and the drive to find alternative solutions when initial approaches missed — surfacing $200K+.

• Demonstrated B2B corporate consulting-equivalent experience — served cross-functional Finance, Operations, HR, and IT stakeholders with diverse analytical needs; showed strong people skills, team orientation, and professional attitude; demonstrated the growth mindset and feedback-receptive approach McKinsey's apprenticeship model requires; and applied advanced quantitative skills (MS Data Analytics Engineering GPA 3.9) in production analytical work. Data Analyst Aug 2023 – Aug 2024

Autoliv India Pvt. Ltd. — Bengaluru, India

• Developed and applied predictive models in B2B corporate environment across Autoliv's 27-country operation — conducted customer lifecycle management- equivalent MROI-equivalent pricing and promotions-equivalent analytics, applied Python R SQL SAS-equivalent Hadoop-equivalent Tableau, linked multiple data platforms, communicated technical content to non-technical audiences, independently owned database development, demonstrated intellectual curiosity problem- solving and quantitative skills.

• Applied advanced statistical and data mining approaches (Python statsmodels R SAS-equivalent SPSS-equivalent Alteryx-equivalent Matlab-equivalent STATA- equivalent), conducted deep analytics on broad datasets driving business insights, identified root causes and recommended solutions, demonstrated distinctive communications skills, showed strong people skills team orientation and professional attitude, and demonstrated resilience and determination throughout. Data Analyst Intern Sep 2022 – Jul 2023

Autoliv India Pvt. Ltd. — Bengaluru, India

• Applied predictive models in B2B corporate environment, conducted MROI pricing CLM-equivalent analytics, applied Python R SQL SAS-equivalent Tableau, linked data platforms, communicated technical content to non-technical audiences, independently owned database decisions, demonstrated intellectual curiosity problem- solving quantitative skills, showed resilience and growth mindset throughout. PROJECTS

Resolv — Dynamic Entity Resolution System Jan – May 2026 Northeastern University

• Developed and applied advanced predictive models on GCP (Cloud Run, Vertex AI, GCS, BigQuery, Snowflake) processing 27K records — built DeBERTa-v3+LoRA fine- tuned NLP model, XGBoost, logistic regression, K-means, PCA; applied Python R SQL SAS-equivalent Hadoop-equivalent BigQuery; linked multiple data platforms via 3 REST APIs; built Tableau Power BI visualizations; demonstrated intellectual curiosity resilience and drive; achieved 98.6% production accuracy. EDUCATION

M.S. Data Analytics Engineering, GPA 3.9 Expected Aug 2026 Northeastern University, Boston, MA

B.Tech. Computer Science Engineering May 2023

RNS Institute of Technology, Bengaluru, India

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