Tejas Lokesh

TL

Open to opportunities

Tejas Lokesh

@tejaslokesh

Data Scientist II delivering enterprise analytics with Power BI, SQL, Python, Databricks.

What I'm looking for

I’m looking for a team where I can own end-to-end BI & ML delivery—building fast dashboards, scalable data pipelines, and measurable KPIs—while collaborating with stakeholders in Agile sprints and mentoring teammates to raise overall performance.

I’m a Lead Data Scientist with 3+ years of experience delivering enterprise-grade analytics and business intelligence solutions. I turn complex business requirements into high-performance BI and ML experiences using Power BI, SQL, Python, and Databricks.

In my most recent role, I designed enterprise Power BI solutions integrating SQL Server, Python, and Databricks—building star and snowflake schemas with optimized fact/dimension tables for high-volume reporting. I developed advanced DAX measures (CALCULATE, FILTER, time intelligence, rolling averages, SLA metrics, KPI scorecards) and improved dashboard load times by 60%+ through aggregated tables and performance-optimized data models.

I also engineered Databricks ETL pipelines using Delta Lake, Python, and PySpark to structure curated analytics-ready layers, and I used MLflow to support the model training/experimentation and deployment lifecycle. I’m passionate about mentoring and cross-functional collaboration in Agile environments, bridging business needs with engineering to drive measurable customer, marketing, finance, and operations impact.

Experience

Work history, roles, and key accomplishments

MA

Senior Data Analyst (ML)

Mathco

Oct 2023 - Sep 2025 (1 year 11 months)

Built enterprise Power BI solutions integrating SQL Server, Python, and Databricks, creating optimized star/snowflake models and DAX KPI scorecards for customer and operational reporting. Improved dashboard load times by 60%+ and reduced manual data preparation effort by 50%+ by engineering reusable ETL pipelines with Delta Lake, PySpark, and performance-tuned SQL.

Power BI Power Query SQL Server Window Functions Python Databricks Delta Lake Pyspark Data Modeling ETL MLFlow

MA

Data Science Intern

Mathco

Jan 2023 - Sep 2023 (8 months)

Developed a marketing mix optimization and prediction simulator using statistical analysis and machine learning to maximize marketing ROI for Danone Malaysia. Built predictive models in Jupyter to forecast marketing returns and enabled stakeholders to test spend scenarios, improving data-informed decision-making.

Machine Learning Statistical Analysis Jupyter Notebooks Python predictive modeling Data Cleaning data transformation Marketing Analytics Excel

Education

Degrees, certifications, and relevant coursework

SA

SRM College, Amravati

Bachelor of Engineering, Artificial Intelligence and Machine Learning

2019 - 2023

Bachelor of Engineering in Artificial Intelligence and Machine Learning at SRM College, Amravati from 2019 to 2023.

Tech stack

Software and tools used professionally

Jupyter

PySpark

Gmail

Databricks

PyTorch

MLflow

Keras

IFTTT

SQL

Hex

Delta Lake

Transform

Arduino

Bridge

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