Tushar (Sunkra) Rao
Research Assistant/Master Thesis
Experience
Research Assistant/Master Thesis
Otto-von-Guericke Universität Magdeburg
- Performed qualitative and quantitative analysis of extracted findings, categorizing themes, evaluating methodologies, and assessing study quality and reliability.
- Produced research reports and evidence summaries communicating key trends, gaps, and opportunities to academic advisors or cross-functional teams.
- Presented findings through well-structured visualizations, tables, and narrative summaries to support decision-making and guide future research directions.
Data Scientist
Accenture
- Built automated ETL pipelines (Python, PySpark, Databricks) aggregating CRM, finance, and product datasets; reduced manual consolidation time by 60% and enabled hourly refreshes for analytics teams.
- Developed ML models (XGBoost, Random Forest, CNN-based pipelines) for forecasting and customer value prediction, improving MAPE by 18% and helping commercial teams optimize pricing and retention strategies.
- Designed an end-to-end A/B test evaluation framework (SQL, Python, SciPy), standardizing significance testing, uplift analysis, and confidence intervals; cut experiment evaluation time by 40%.
- Delivered executive dashboards in Power BI and Metabase surfacing KPIs and model outputs; supported weekly leadership decisions and improved reporting efficiency by 75%.
- Partnered with engineering teams to implement data quality monitoring (missingness, anomaly checks) and version-controlled schemas, reducing pipeline failures by approximately 70%.
Associate Software Engineer
Accenture
- Automated high-impact analytics workflows using SQL, Python, and Excel macros, reducing manual reporting time by approximately 60%.
- Enhanced data warehouse schemas and documentation, enabling reproducibility and improving downstream analytics accuracy.
- Supported deployment of predictive models into service-oriented architecture (REST endpoints); contributed to testing, monitoring, and debugging of model behavior.
- Produced narrative insights summarizing customer funnel drop-offs and process inefficiencies, helping product teams prioritize fixes that improved conversion.
Data Analyst Intern
Tata Technologies
- Performed cohort analysis, funnel diagnostics, and conversion analytics to support product decisions.
- Identified UX bottlenecks and irregular trends, enabling business teams to take corrective action quickly.
- Created actionable summaries and visual briefs for managers, strengthening alignment between engineering and product teams.
A/B Testing & Experimentation Framework
- Developed standardized templates and significance-testing pipelines using SciPy and Statsmodels.
- Impact: Improved experiment decision speed by approximately 40% across 20+ experiments per year.
Product Analytics Dashboard
- Built a unified dashboard combining product, event, and billing data (SQL, Python, Tableau).
- Impact: Reduced ad-hoc reporting requests by 50% and identified funnel issues that increased trial→paid conversion by 6%.
Visualization of Skin Cancer Treatment Patterns
- Designed end-to-end Tableau dashboards for skin cancer treatment patterns for a university hospital.
- Helped clinicians detect outliers and improve patient care workflows.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Education (2 years), Professional Services (2 years), and Information Technology (1.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Business Intelligence (2.5 years), Research and Development (2 years), Information Technology (2 years), Quality Assurance (1 year), and Product Development (0.5 years).
Summary
Data Scientist with 4+ years of experience building machine learning models, designing scalable data pipelines, and delivering production-grade analytics solutions across telecom, digital products, and enterprise systems. Strong expertise in Python, PyTorch/TensorFlow, SQL, and cloud-based ML workflows.
Skilled at translating business problems into deployable models—classification, forecasting, NLP, and experimentation. Adept at collaborating with engineering and product teams to productionize ML systems and deliver measurable business impact.
Skills
- Programming Python (Pandas, Numpy), Scikit-learn, Pytorch, Tensorflow, Xgboost, Lightgbm, Transformers, Nlp (Spacy, Hugging Face), Time-series Forecasting
- Data Engineering Sql (Advanced Joins, Window Functions, Ctes), Databricks, Bigquery, Snowflake, Redshift, Airflow, Docker, Ci/cd, Mlflow, Fastapi
- Statistics Hypothesis Testing, A/b Testing, Experiment Design, Causal Inference (Basic), Regression/classification
- Visualization Tableau, Power Bi, Looker Studio, Matplotlib, Seaborn
- Other Tools Git, Jupyter, Excel (Pivot, Vba), Rest Apis
Languages
Education
Otto-von-Guericke Universität Magdeburg
M.S. in Data Science · Data Science · Magdeburg, Germany
Gandhi Institute of Technology and Management
B.S. in Computer Science · Computer Science · India
Certifications & licenses
Google Data Analytics Professional Certificate
Profile
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