Tejas Parjane

Data Scientist / AI Engineer

Pune, Maharashtra, India 3+ yrs exp 87 · Excellent

About

Data Scientist / AI Engineer with 3+ years of experience building machine learning, forecasting, statistical analysis, and decision-support systems, with additional hands-on experience developing GenAI and AI-powered applications. Strong in Python, SQL, scikit-learn, XGBoost, time-series modeling, experimentation, and analytical automation. Experienced in translating business problems into data-driven solutions across multi-source datasets, predictive modeling, and automated workflows. Hands-on experience with LLM applications, RAG, LangChain, vector search, FastAPI, PostgreSQL, PyTorch, and cloud-based deployment, with a focus on building reliable and business-oriented AI systems.

Skills & Expertise (50)

Generative AI Advanced

9.0/10

0.5

Years Exp

LLM Applications Advanced

9.0/10

0.5

Years Exp

RAG Advanced

8.5/10

0.5

Years Exp

LangChain Advanced

8.5/10

0.5

Years Exp

AI-assisted Analytics Advanced

8.5/10

Years Exp

Regression Advanced

8.0/10

Years Exp

Classification Advanced

8.0/10

Years Exp

Random Forest Advanced

8.0/10

Years Exp

EDA Advanced

8.0/10

Years Exp

Predictive Modeling Advanced

8.0/10

Years Exp

Feature Engineering Advanced

8.0/10

Years Exp

ETL Advanced

8.0/10

Years Exp

Aggregations Advanced

8.0/10

Years Exp

Joins Advanced

8.0/10

Years Exp

SQL Advanced

8.0/10

Years Exp

MySql Advanced

8.0/10

Years Exp

Postgresql Advanced

8.0/10

Years Exp

Power BI Advanced

8.0/10

Years Exp

Tableau Advanced

8.0/10

Years Exp

XGBoost Advanced

8.0/10

Years Exp

scikit-learn Advanced

8.0/10

Years Exp

NumPy Advanced

8.0/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

Python Advanced

8.0/10

Years Exp

API Integration Advanced

8.0/10

Years Exp

Workflow Automation Advanced

8.0/10

Years Exp

Looker Intermediate

7.5/10

Years Exp

Data Modeling Intermediate

7.5/10

Years Exp

KPI Analytics Intermediate

7.5/10

Years Exp

Data Validation Intermediate

7.5/10

Years Exp

AWS S3 Intermediate

7.5/10

Years Exp

GCP Intermediate

7.5/10

Years Exp

SQLite Intermediate

7.5/10

Years Exp

SQL Server Intermediate

7.5/10

Years Exp

Snowflake Intermediate

7.5/10

Years Exp

Time-Series Forecasting Intermediate

7.5/10

Years Exp

K-Means Intermediate

7.5/10

Years Exp

TensorFlow Intermediate

7.5/10

Years Exp

PyTorch Intermediate

7.5/10

Years Exp

SciPy Intermediate

7.5/10

Years Exp

statsmodels Intermediate

7.5/10

Years Exp

FastAPI Intermediate

7.0/10

Years Exp

Docker Intermediate

7.0/10

Years Exp

PGvector Intermediate

7.0/10

0.5

Years Exp

Window Functions Intermediate

7.0/10

Years Exp

CTEs Intermediate

7.0/10

Years Exp

A/B testing Intermediate

7.0/10

Years Exp

Hypothesis Testing Intermediate

7.0/10

Years Exp

ARIMA Intermediate

7.0/10

Years Exp

ANOVA Intermediate

6.5/10

Years Exp

Work Experience

Data Scientist / AI Engineer

Independent Data Science & AI/ML Projects

Apr 2026 - Present

Built an evidence-first GenAI application combining RAG, governed SQL retrieval, KPI definitions, and business documents to answer business questions with source-grounded responses. Implemented LangChain LCEL orchestration, custom retrieval, SentenceTransformer embeddings, pgvector semantic search, and optional LLM synthesis through a typed FastAPI service. Designed a governed data-access layer that executes reviewed SQL templates instead of arbitrary LLM-generated SQL, with citations, grounding checks, deterministic fallbacks, and evaluation endpoints. Containerized the application with Docker/Docker Compose and configured deployment through Render; developed a Streamlit interface for interactive BI analysis.

Data Analyst

TSL Consulting Pvt. Ltd.

Jul 2023 - Mar 2026

Led analytics and reporting initiatives across 20+ B2B technology client accounts, partnering with marketing, sales, and leadership teams to translate business problems into data-driven solutions. Analyzed multi-source sales, marketing, CRM, and operational datasets using SQL and Python to identify trends, performance drivers, anomalies, and optimization opportunities. Developed automated ETL workflows using Python, Pandas, NumPy, and SQL to consolidate, clean, transform, and validate multi-source datasets, reducing manual reporting effort by 10+ hours per week. Performed exploratory, statistical, segmentation, and forecasting analyses to evaluate business performance, identify drivers, and support planning and decision-making. Built Power BI dashboards and standardized KPI reporting workflows, improving reporting turnaround time by 30%, while implementing data-quality checks and analytical logic to improve reporting reliability.

Associate Analyst

Jade Global

May 2022 - Nov 2022

Analyzed business datasets using SQL and advanced Excel to identify trends, anomalies, and operational performance drivers. Performed data cleaning, validation, reconciliation, and transformation across multiple datasets and developed recurring analytical reports supporting operational decision-making.