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I am a results-driven Data Analytics professional with over 15 years of experience in machine learning, statistical modeling, and advanced analytics. I have a proven track record of building and deploying robust ML models for outlier detection, fraud detection, and cost optimization, with a strong foundation in information extraction and predictive modeling. I am proficient in Python, SQL, and cloud platforms like Microsoft Azure, with hands-on experience building and optimizing ETL pipelines using Azure Data Factory and Databricks. I design dashboards with Power BI, Tableau, Grafana, and Qlik Sense to deliver actionable insights and translate complex data into strategic business decisions. I enjoy collaborating with cross-functional teams and providing technical leadership to deliver high-impact solutions.…I am a results-driven Data Analytics professional with over 15 years of experience in machine learning, statistical modeling, and advanced analytics. I have a proven track record of building and deploying robust ML models for outlier detection, fraud detection, and cost optimization, with a strong foundation in information extraction and predictive modeling. I am proficient in Python, SQL, and cloud platforms like Microsoft Azure, with hands-on experience building and optimizing ETL pipelines using Azure Data Factory and Databricks. I design dashboards with Power BI, Tableau, Grafana, and Qlik Sense to deliver actionable insights and translate complex data into strategic business decisions. I enjoy collaborating with cross-functional teams and providing technical leadership to deliver high-impact solutions.

Sajal Agarwal

Data Scientist, Data Analyst, AI Engineer, +4

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I am a results-driven Data Analytics professional with over 15 years of experience in machine learning, statistical modeling, and advanced analytics. I have a proven track record of building and deploying robust ML models for outlier detection, fraud detection, and cost optimization, with a strong foundation in information extraction and predictive modeling. I am proficient in Python, SQL, and cloud platforms like Microsoft Azure, with hands-on experience building and optimizing ETL pipelines using Azure Data Factory and Databricks. I design dashboards with Power BI, Tableau, Grafana, and Qlik Sense to deliver actionable insights and translate complex data into strategic business decisions. I enjoy collaborating with cross-functional teams and providing technical leadership to deliver high-impact solutions.…I am a results-driven Data Analytics professional with over 15 years of experience in machine learning, statistical modeling, and advanced analytics. I have a proven track record of building and deploying robust ML models for outlier detection, fraud detection, and cost optimization, with a strong foundation in information extraction and predictive modeling. I am proficient in Python, SQL, and cloud platforms like Microsoft Azure, with hands-on experience building and optimizing ETL pipelines using Azure Data Factory and Databricks. I design dashboards with Power BI, Tableau, Grafana, and Qlik Sense to deliver actionable insights and translate complex data into strategic business decisions. I enjoy collaborating with cross-functional teams and providing technical leadership to deliver high-impact solutions.

Available to hire

I am a results-driven Data Analytics professional with over 15 years of experience in machine learning, statistical modeling, and advanced analytics. I have a proven track record of building and deploying robust ML models for outlier detection, fraud detection, and cost optimization, with a strong foundation in information extraction and predictive modeling. I am proficient in Python, SQL, and cloud platforms like Microsoft Azure, with hands-on experience building and optimizing ETL pipelines using Azure Data Factory and Databricks. I design dashboards with Power BI, Tableau, Grafana, and Qlik Sense to deliver actionable insights and translate complex data into strategic business decisions. I enjoy collaborating with cross-functional teams and providing technical leadership to deliver high-impact solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Scientist at Tata Consultancy Services

July 1, 2020 - Present

Led the development and deployment of outlier detection models to trigger alerts for excess charges, and identified opportunities in Azure cost optimization, generating CAD 12.8 million in potential savings. Built BI dashboards in Grafana (PostgreSQL) and Power BI to monitor daily Azure consumption. Provided technical leadership for ML solutions in outlier detection, fraud detection, and cloud cost optimization. Automated Azure billing reporting with Python scripts and Azure Functions, and established ETL pipelines in Azure Data Factory for daily data refreshes. Implemented ensemble models (Random Forest, Gradient Boosting) for improved fraud detection and tuned GPT-based models with LangChain and Azure OpenAI for summarizing claims and risk reports. Ensured model transparency using SHAP/LIME and deployed AutoML experiments in Azure ML Studio. Developed data transformation logic with Pandas/NumPy/Seaborn in Databricks notebooks.

Data Scientist at Tata Consultancy Services

June 1, 2019 - July 1, 2020

Identified patterns and leveraged statistical models to optimize the operational efficiency of the mild steel door production process. Developed supervised and unsupervised models (regression, clustering, PCA) to analyze process deviations. Explored model pruning/quantization for real-time predictive maintenance. Designed and developed forecasting/classification models (multivariate regression, logistic regression, decision trees, time series) and collaborated with cross-functional teams to translate requirements into actionable insights. Created and maintained dashboards to monitor KPIs, ensuring analytics adhered to industry standards.

Manager-Analytics at GMR (Delhi International Airport Ltd)

July 1, 2018 - June 30, 2019

Consolidated management reports for all airport terminals for non-aero commercial reporting to CCO/CEO using Qlik Sense and Power BI. Designed campaigns and promotions based on data insights, generating an incremental revenue of INR 2 million by boosting sales, transactions, and sales per square meter in retail and F&B segments.

Deputy Manager at WNS

December 1, 2017 - July 31, 2018

Led a team of 5 analysts delivering Financial & Commercial reporting based on IMS/Nielsen/IRI data in Power BI. Conducted sales and competitive analysis to identify high-growth segments in SE Asia, supported Indian FMCG industry insights through secondary research, and tracked KPIs (gross sales, COGS, net sales, operating profit). Reported to brand managers and regional heads, addressing ad-hoc requests with actionable insights.

Data Scientist at Tata Consultancy Services (Client-Manulife)

July 1, 2020 - Present

Developed and deployed an Outlier Detection Model to trigger alerts for excess charges; identified underutilized resources in the Microsoft Azure environment, generating CAD 12.8M in savings. Built and designed BI dashboards in Grafana and Power BI to monitor Azure daily consumption. Led ML initiatives for outlier detection, fraud detection, and cloud cost optimization. Automated Azure billing reporting via Python scripts and Azure Functions; implemented ETL pipelines in Azure Data Factory and Databricks. Applied ensemble models (Random Forest, Gradient Boosting); incorporated SHAP/LIME for model transparency; evaluated AutoML experiments in Azure ML Studio.

Data Scientist at Tata Consultancy Services (Client-Tata Steel)

June 1, 2019 - July 1, 2020

Identified patterns and leveraged supervised and unsupervised models (regression, clustering, PCA) to analyze production deviations and optimize operational efficiency. Developed forecasting and classification models, explored model pruning/quantization for real-time predictive maintenance, and collaborated with cross-functional teams to translate findings into actionable insights. Built dashboards to monitor KPIs and ensure compliance with analytics standards.