Ankit Sengar

Data Analyst

1+ yrs exp 64 · Good

About

Results-driven Data Professional with 2+ years of experience in data analysis, SQL, Python, and business reporting. Proficient in Python, SQL, Pandas, Excel, Streamlit, and Power BI for analyzing large datasets, automating reporting workflows, and delivering actionable business insights. Experienced in data extraction, cleaning, transformation, validation, KPI reporting, and dashboard development. Strong analytical and problem-solving skills with a focus on improving data accuracy, optimizing reporting processes, and enabling data-driven business decisions.

Skills & Expertise

No skills listed yet

Work Experience

Data Analyst

EasyRewardz Software Service Pvt. Ltd

Mar 2025 - May 2026

Developed and automated end-to-end data processing pipelines using Python, SQL, and Pandas to streamline reporting and analytics workflows. Designed and optimized automated KPI reporting solutions, reducing manual effort by 70% and improving operational efficiency. Designed and developed interactive Tableau dashboards for business intelligence and executive reporting. Built interactive Streamlit dashboards and automated business reports to monitor KPIs and support data-driven decision-making. Designed and optimized PostgreSQL databases for large-scale analytical and transactional workloads. Utilized Claude AI for content generation, summarization, document analysis, and intelligent automation workflows. Designed and implemented ETL/ELT pipelines to extract data from multiple heterogeneous data sources. Performed Power BI, data cleaning, transformation, and analysis on large datasets to generate actionable business insights. Collaborated with cross-functional stakeholders to gather business requirements and deliver scalable analytics solutions. Automated PowerPoint-based business reporting using Python, significantly reducing report generation time and improving reporting consistency. Engineered and deployed Data modelling, EDA, RAG-based (Retrieval-Augmented Generation) GenAI pipeline with advanced prompt engineering (Few-Shot, Chain-of Thought), improving Text-to-SQL, PostgreSQL, query accuracy by 30% for business intelligence applications. Assisted in developing and evaluating machine learning models for predictive analytics and business use cases.

Data Analyst

Jana Small Finance Bank

Jan 2024 - Sep 2024

Performed data cleaning, preprocessing and EDA on structured and unstructured datasets. Developed Python-based analytics applications for automated document analysis. Evaluated and optimized Generative AI solutions based on accuracy, response quality, and business requirements. Developed machine learning models for classification, regression, clustering, and predictive analytics. Optimized ELT/ETL processes for high-volume datasets using parallel processing and database-native capabilities. Connected Tableau with multiple data sources including PostgreSQL, Excel, CSV, and cloud databases. Integrated AI services through REST APIs and automated end-to-end workflows for internal applications. Performed model evaluation, prompt optimization, and data validation to improve AI system accuracy and response quality.