Ananyyak Das

Data Engineer

Noida, Uttar Pradesh, India2 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable ETL pipelines.
Proficient in optimizing campaign performance.
Skilled in turning raw data into actionable insights.

Stackforce AI infers this person is a Data Science professional with expertise in analytics and data-driven decision-making.

Contact

Skills

Other Skills

Azure Data FactoryAzure DatabricksData AnalysisData AnalyticsData ResearchData VisualizationExploratory Data AnalysisGoogle Data StudioMachine LearningMathematicsMicrosoft AzureMicrosoft ExcelMicrosoft PowerPointMySQLNumPy

About

Data Science professional with expertise in building scalable ETL pipelines and optimizing campaign performance using Python, PySpark, and Azure. Passionate about turning raw data into actionable insights that drive business growth.

Experience

Wns analytics

2 roles

Lead Associate - Analytics

Promoted

May 2025 – Present · 10 mos · Gurugram, Haryana, India

Senior Associate - Analytics

Aug 2023 – Apr 2025 · 1 yr 8 mos · Gurugram, Haryana, India

Project 42 labs

Data Science Intern

Mar 2023 – May 2023 · 2 mos

1. Presented summary on different banks through transactional analytics for fraud detection on transactions above 1 lakh

Smollan

Data Analyst Consultant

Dec 2022 – Jan 2023 · 1 mo

1. Handled insertion of Data in google sheets of various Brand Prominance in smartphone industry
2. Aided Data Audit 50 % of the data and interpreted weekly Insights
3. Managed google data studio for developing Data Driven real time dashboard
4. Served in the Data science project as Google consultant for client @Google

Dowell research

Data Analyst

Sep 2022 – Nov 2022 · 2 mos

1. Executed Data Mining for various countries Indicators to visualize them in google data studio
2. Undertook Data Modelling for CX Index to predict the target variable with Accuracy > 70%
3. Performed Statistical Data Analysis to review the outcome for the country indicators
4. Applied Regression on the LSM Indicators with 80 % Accuracy