Saikat Chowdhury

Data Analyst

Kolkata, West Bengal, India8 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

7+ years of data analysis experience.
Achieved 8-10% revenue growth through data insights.
Reduced data processing time by 30%.

Stackforce AI infers this person is a Data Analyst with expertise in Data Visualization and Business Intelligence.

Contact

saikat.chowdhury2023@gmail.com LinkedIn

Skills

Core Skills

Data AnalysisData VisualizationData ManagementData Analytics

Other Skills

A/B TestingAd Hoc AnalysisAdministrative AssistanceAmazon Web Services (AWS)Analytical SkillsAnalyticsArtificial Intelligence (AI)BootstrapBusiness AnalysisBusiness AnalyticsBusiness Data ManagementBusiness InsightsBusiness Intelligence (BI)CCampaign Performance Analysis

About

Highly analytical Data Analyst with over 7 years of experience, including 5+ years in data visualization, reporting automation, and statistical analysis. Proficient in Power BI, SQL, and Advanced Excel, with a proven ability to convert complex data into strategic business insights that fueled 8–10% revenue growth. Successfully reduced data processing time by 30%, cut reporting time by 25%, and lowered customer acquisition costs by 40% through data-driven optimization strategies. Skilled in developing dynamic dashboards, streamlining ETL processes, and automating reports. Known for strong cross-functional collaboration, insightful reporting, and unwavering compliance with data privacy and governance standards.

Experience

8 yrs 5 mos

Total Experience

1 yr 7 mos

Average Tenure

9 mos

Current Experience

Indus net technologies (int.)

Data Analytics

Sep 2025 – Present · 9 mos · Kolkata, West Bengal, India · On-site

Data Analyst

Data AnalysisMicrosoft Power BIMySQLData Visualization

Self employed

Data Analyst

Mar 2024 – Aug 2025 · 1 yr 5 mos · India · Remote

Power BI:
Develop, publish, and maintain interactive Power BI dashboards and reports and ETL
Use Power Query and DAX to manipulate and visualize data effectively
Connect to multiple data sources (SQL Server, Excel, APIs, etc.)
Implement row-level security (RLS) and optimize report performance
Collaborate with stakeholders to define KPIs and data visualization needs
SQL:
Write complex SQL queries to extract, filter, and aggregate data from relational databases
Perform data cleansing, joins, CTEs, window functions, and subqueries
Create and maintain stored procedures, views, and functions for automated pipelines
Analyze trends, spot anomalies, and deliver actionable insights through data exploration
Excel:
Build advanced Excel dashboards using pivot tables, charts, slicers, and conditional formatting
Utilize Power Pivot and Power Query for large data modeling
Automate tasks using Excel formulas and VBA/macros
Reconcile data across Excel, Power BI, and source systems

MySQLMicrosoft ExcelMicrosoft Power BIExtract, Transform, Load (ETL)Data VisualizationData Analysis

Omdena

Machine Learning Engineer

May 2021 – Oct 2021 · 5 mos · Karnataka, India · Remote

Preventing the Financing of Terrorism by Engineering an ML Model with Financial Crime Data.
goFintel is the “NEXT Generation platform for Detecting, Preventing and Countering Money Laundering and the Financing of Terrorism”
Under the framework of the UN Office of Counter Terrorism “UN-OICT-UNCCT Global coordinated programme on detecting, preventing and countering the financing of terrorism” addressing UN Security Council Resolution 2462 and 2482 mandates, the UN initiated the goFintel project with the aim to strengthen Member States capacity to combat money laundering and the financing of terrorism.

Reverie language technologies

Data Engineer

Jan 2020 – Feb 2024 · 4 yrs 1 mo · Bangalore · On-site

Data Management, Data cleaning, updating, and maintaining in a
proprietary format.
Collection and Creation of training data in multiple formats as per application and process requirements.
Coordinated with business manager to gain understanding about the problems incurred.
Analyzed data trends and discovered the root causes enabling smooth and quick decision-making.Transformation and validation of the data was done by building dashboards in Tableau and PowerBI.
Evaluating and formulating enhancement strategies to boost KPIs across all business units.
Analyzed and forecasted transactional datasets to identify the fast-moving markets along with the low key sectors to impact a positive growth by 8-10%
Increasing worker's productivity by 10-
15%, by constant motivation and training, while assisting the HR department.
Worked in cross-team collaboration to train me in understanding the various aspects of the business while working towards a common goal.