Harshal Barange profile photo 1 on Tal

Harshal Barange

Technology Consultant - Data & AI | Analytics Engg | SQL | Python | Retail / CPG | Project Management | BI & Data Analyst | Ex- Wpp Media , Mathco | Big Data | Azure | Databricks | Pyspark | Hadoop | Tableau

Bengaluru

5+ years of work experience

EY
Oct 20259 mosPresent

Bengaluru, Karnataka, India

GroupM
Mar 20241 yr 10 mosDec 2025

Hyderabad, Telangana, India

MathCo
Jan 20231 yr 4 mosApr 2024

Remote

- Designed and automated scalable data pipelines using Azure Data Factory, Databricks, and SQL, reducing manual effort by 50% and improving data consistency by 40%. - Optimized data ingestion and transformation with PySpark, improving processing speed by 30%, enhancing real-time analytics and machine learning model performance. - Deployed ML models across multiple environments (Dev, QA, Prod) using CI/CD pipelines with Azure DevOps and GitHub, ensuring seamless integration and efficient version control. - Developed interactive Tableau dashboards providing real-time insights, leading to growth and improved executive decision-making
MathCo
Jul 20226 mosDec 2022

On-site

Problem statement: A international retail brand wants me to identify the impact of marketing at the SKU/PPG level, and provide recommendations for informed marketing decisions based on the true ROI of any given promotion. Goals: My goal was to develop a statistically sound solution that identifies the relationship between marketing and revenue, and provides a comprehensive analysis of return on investments from historic marketing activities.I also aimed to provide recommendations for future marketing performance. Roles and Responsibilities: • Analyzed the stakeholder's requirements and evaluated a big dataset to identify trends and develop actionable insights. • Developed and executed solutioning for various methodologies, streamlining the data flow for automatic pipeline triggering, creating code flow and debugging the bugs found in the tool. • Maintained and implemented changes in the backend scripts of the pipeline to update the tool according to stakeholder's requirements. • Analyzed and filtered 10k rows of data sent by the client, optimized and pre-processed the data before building a linear regression model. • Performed feature engineering on data having 75 columns using python libraries like NumPy, Pandas, Seaborn, and performed model selection and built it on model winner. • Built and trained a log-log regression model, analyzed model prediction accuracy of 72% after training the model. • Created the tool using in-house accelerator CO. DX, and set up the data engineering architecture for data flow and pipeline trigger for auto-refresh of data. This project allowed me to showcase my expertise in data analysis, feature engineering, model selection, Python programming, machine learning, and data engineering, and provided valuable insights to the client for future marketing strategies. Additionally, my proficiency in BI reporting and dashboard creation facilitated easy communication of final outputs to stakeholders.
Memeber SWE MIT-WPU
20211 yr 9 mosSep 2022

Imperial College Of Engineering and Research
Aug 20211 yr 1 moAug 2022

Pune District, Maharashtra, India

I as a coordinator managed all the day to day activities related to placements and campus drives conducted throughout the year and contributed in various recruitment activities .

Harshal’s AI Stack

kiro
kiro
langfuse
langfuse
llava
llava
sora
sora

Education

B.E, Mechanical Engineering

Imperial College Of Engineering and Research

20184 yrs2022
Sri Chaitanya College of Education

higher secondary education, College/University Preparatory and Advanced High School/Secondary Diploma Program

Sri Chaitanya College of Education

20162 yrs2018

Join Harshal and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Harshal Barange on Tal

Headline

Technology Consultant - Data & AI | Analytics Engg | SQL | Python | Retail / CPG | Project Management | BI & Data Analyst | Ex- Wpp Media , Mathco | Big Data | Azure | Databricks | Pyspark | Hadoop | Tableau

About

Azure Data Engineer | Empowering Insights with Advanced Data Solutions Hi I am a full stack analytics professional and Proficient Azure Data Engineer specializing in Python, SQL, and Azure, with hands-on expertise in Hadoop, Snowflake, PySpark, and Databricks. Leveraging over two years at MathCo, I've crafted robust data architectures, reducing data inconsistencies by 40% and propelling a 3% revenue surge for clients. Skilled in ML pipelines. Recognized for simplifying actions and innovation. Passionate about driving impactful data-driven solutions and steering business triumphs through advanced analytics and engineering.

Location

Bengaluru

AI stack

kiro

langfuse

llava

sora

Work experience

Technology Consultant at EY, Oct 2025 - Present · 9 mos, Bengaluru, Karnataka, India

Senior Business Intelligence Analyst at GroupM, Mar 2024 - Dec 2025 · 1 yr 10 mos, Hyderabad, Telangana, India

Data Engineer at MathCo, Jan 2023 - Apr 2024 · 1 yr 4 mos, Remote, - Designed and automated scalable data pipelines using Azure Data Factory, Databricks, and SQL, reducing manual effort by 50% and improving data consistency by 40%. - Optimized data ingestion and transformation with PySpark, improving processing speed by 30%, enhancing real-time analytics and machine learning model performance. - Deployed ML models across multiple environments (Dev, QA, Prod) using CI/CD pipelines with Azure DevOps and GitHub, ensuring seamless integration and efficient version control. - Developed interactive Tableau dashboards providing real-time insights, leading to growth and improved executive decision-making

Data Scientist at MathCo, Jul 2022 - Dec 2022 · 6 mos, On-site, Problem statement: A international retail brand wants me to identify the impact of marketing at the SKU/PPG level, and provide recommendations for informed marketing decisions based on the true ROI of any given promotion. Goals: My goal was to develop a statistically sound solution that identifies the relationship between marketing and revenue, and provides a comprehensive analysis of return on investments from historic marketing activities.I also aimed to provide recommendations for future marketing performance. Roles and Responsibilities: • Analyzed the stakeholder's requirements and evaluated a big dataset to identify trends and develop actionable insights. • Developed and executed solutioning for various methodologies, streamlining the data flow for automatic pipeline triggering, creating code flow and debugging the bugs found in the tool. • Maintained and implemented changes in the backend scripts of the pipeline to update the tool according to stakeholder's requirements. • Analyzed and filtered 10k rows of data sent by the client, optimized and pre-processed the data before building a linear regression model. • Performed feature engineering on data having 75 columns using python libraries like NumPy, Pandas, Seaborn, and performed model selection and built it on model winner. • Built and trained a log-log regression model, analyzed model prediction accuracy of 72% after training the model. • Created the tool using in-house accelerator CO. DX, and set up the data engineering architecture for data flow and pipeline trigger for auto-refresh of data. This project allowed me to showcase my expertise in data analysis, feature engineering, model selection, Python programming, machine learning, and data engineering, and provided valuable insights to the client for future marketing strategies. Additionally, my proficiency in BI reporting and dashboard creation facilitated easy communication of final outputs to stakeholders.

Member at Memeber SWE MIT-WPU, 2021 - Sep 2022 · 1 yr 9 mos

Head coordinator at Imperial College Of Engineering and Research, Aug 2021 - Aug 2022 · 1 yr 1 mo, Pune District, Maharashtra, India, I as a coordinator managed all the day to day activities related to placements and campus drives conducted throughout the year and contributed in various recruitment activities .

Education

B.E, Mechanical Engineering, Imperial College Of Engineering and Research

higher secondary education, College/University Preparatory and Advanced High School/Secondary Diploma Program, Sri Chaitanya College of Education