Sasi Kumar

Data Scientist

Hyderabad 2+ yrs exp 86 · Excellent

About

Data Scientist with 2.5+ years of experience applying machine learning and statistical modeling to solve business problems, managing end-to-end analytics projects from data pipeline development through model deployment. Proficient in Python (Scikit-learn, XGBoost, TensorFlow, PyTorch) and advanced SQL for large-scale data analysis. Proven ability to translate complex analytical outputs into actionable insights and collaborate effectively with cross-functional, non-technical stakeholders. Integrated Master's degree in Statistics, providing a strong theoretical foundation for statistical modeling. Contributes to the evolution of team analytical practices by evaluating and adopting new tools and techniques.

Skills & Expertise (35)

Pandas Advanced

8.0/10

2.5

Years Exp

Jupyter Notebooks Advanced

8.0/10

2.5

Years Exp

VS Code Advanced

8.0/10

2.5

Years Exp

Git Advanced

8.0/10

2.5

Years Exp

SQL Advanced

8.0/10

2.5

Years Exp

scikit-learn Advanced

8.0/10

2.5

Years Exp

NumPy Advanced

8.0/10

2.5

Years Exp

Python Advanced

8.0/10

2.5

Years Exp

Matplotlib Intermediate

7.4/10

2.5

Years Exp

Linear Regression Intermediate

7.4/10

2.5

Years Exp

Logistic Regression Intermediate

7.4/10

2.5

Years Exp

RAG Pipelines Intermediate

7.4/10

2.5

Years Exp

Prompt Engineering Intermediate

7.4/10

2.5

Years Exp

Large Language Models Intermediate

7.4/10

2.5

Years Exp

Subqueries Intermediate

7.4/10

2.5

Years Exp

Complex Joins Intermediate

7.4/10

2.5

Years Exp

Window Functions Intermediate

7.4/10

2.5

Years Exp

CTEs Intermediate

7.4/10

2.5

Years Exp

SVM Intermediate

7.4/10

2.5

Years Exp

TensorFlow Intermediate

7.4/10

2.5

Years Exp

Classification Intermediate

7.4/10

2.5

Years Exp

Clustering Intermediate

7.4/10

2.5

Years Exp

Regression Intermediate

7.4/10

2.5

Years Exp

Random Forest Intermediate

7.4/10

2.5

Years Exp

Model Evaluation Intermediate

7.4/10

2.5

Years Exp

Feature Engineering Intermediate

7.4/10

2.5

Years Exp

Anomaly Detection Intermediate

7.4/10

2.5

Years Exp

Time-Series Forecasting Intermediate

7.4/10

2.5

Years Exp

Neural Networks Intermediate

7.4/10

2.5

Years Exp

XGBoost Intermediate

7.4/10

2.5

Years Exp

Gradient Boosting Intermediate

7.4/10

2.5

Years Exp

Ridge Intermediate

6.4/10

2.5

Years Exp

Tableau Intermediate

6.4/10

2.5

Years Exp

Zoho Analytics Intermediate

6.4/10

2.5

Years Exp

Lasso Intermediate

6.4/10

2.5

Years Exp

Work Experience

Data Analyst

Transgraph Consulting Pvt. Ltd.

Apr 2025 - Present

Applied machine learning and statistical modeling techniques - including Random Forest, XGBoost, SVM, Neural Networks, Regression, and Clustering - to develop and implement analytical solutions, improving forecasting accuracy by 15%. Managed analytics projects end-to-end, from requirements gathering through model development to delivery of decision-support dashboards using Python, SQL, and Zoho Analytics. Partnered with cross-functional business teams to translate complex problems into scalable analytics solutions, ensuring outcomes were delivered in alignment with strategic objectives. Contributed to the evolution of team analytical practices by evaluating new data sources, tools, and ML techniques, including GenAI frameworks, to improve analytical throughput.

Analyst Trainee

Transgraph Consulting Pvt. Ltd.

Oct 2023 - Apr 2025

Built end-to-end data science pipelines using Python and SQL - from data ingestion and feature engineering to preprocessing and model-ready dataset creation - across large-scale structured and unstructured operational datasets. Applied statistical modeling, time-series forecasting, regression, and clustering techniques to analyze high-volume operational data, generating actionable insights with clear documentation of methods and findings. Collaborated with cross-functional teams to translate analytical outputs into business-ready recommendations, applying strong analytical and problem-solving skills to address complex data challenges.