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Data Analyst with 3+ years in SQL, Python, Power BI, & Excel.
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Assessing your cultural and operational fit
Data Analyst with 2+ years of experience delivering business insights using SQL, Python, Power BI, and Excel across consumer analytics and survey data. Proven impact in automating ETL pipelines, KPI dashboards, and forecasting models, improving operational efficiency by 30–40% and driving measurable improvements in CSAT and decision-making.
Mangalam institute of Technology
Bachelor of Computer Application · Computer Application
January 1, 2017 – January 1, 2020
NielsenIQ
Data Analyst
February 1, 2024 – Present
Delhi, Delhi, India
AVA
Analyst
February 1, 2023 – February 1, 2024
Delhi, Delhi, India
New York Taxi Price Prediction
June 24, 2026 – Present
Analysed 1M+ ride records to identify pricing drivers and demand patterns using Python, SQL, and Power BI. Built interactive dashboards to track fare trends, peak hours, and weather impact, supporting pricing optimization insights. Built Power BI dashboard with KPI Analysis and Forecasting using DAX and Python.
Online Courses
June 24, 2026 – Present
Performed Data Modelling and Visualization to identify Courses trends. Created dashboards and KPIs for Business Intelligence and Forecasting content performance. Recommended acquisition strategies improving retention by 12%.
Power BI course
June 1, 2026 – Present
Imarticus Data Analytics Program
Imarticus
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, including personal projects like 'New York Taxi Price Prediction' and 'Online Courses', alongside professional experience at NielsenIQ and AVA, demonstrates a proactive learning attitude and broad interest in data analysis applications. Their experience in client-facing roles and improving CSAT aligns well with a collaborative and customer-centric work environment. The breadth of skills (SQL, Python, Power BI, Excel, ETL, Forecasting) indicates adaptability and a willingness to tackle various data challenges, which is a good cultural fit for dynamic teams.
Soft Skills & Operational Fit
The candidate's experience highlights strong problem-solving skills, particularly in automating workflows and improving reporting efficiency. Their ability to lead analytics projects and deliver client-facing insights suggests good communication and stakeholder management. The focus on measurable improvements (e.g., 20% reduction in manual effort, 38% CSAT improvement) indicates a results-oriented approach and attention to operational impact.