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Data Analyst with 2+ years in Business Intelligence & Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 2 years of experience in building interactive dashboards, conducting deep-dive data analysis, and delivering actionable business insights. Proficient in Power BI, Advanced Excel, SQL, and Python, with hands-on expertise in data visualization, data cleaning, and report automation. Successfully developed key dashboards for Auto Loans Sales, Retention, and RTO performance that streamlined operations and supported strategic decision-making. Strong foundation in statistics, machine learning, and data storytelling, combined with excellent collaboration and problem-solving skills.
Finqy
Data Analyst
October 1, 2023 – Present
India
Rubicon Pvt. Ltd
Data Operator
May 1, 2022 – September 1, 2023
Pune, Maharashtra, India
Analysis of share price prediction
June 19, 2026 – Present
In this project, we study the problem of stock market forecasting using Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM). The purpose of this project is to examine the feasibility and performance of LSTM in stock market forecasting.
Cultural Fit Analysis
The candidate's project experience, particularly the academic project on stock market prediction using RNN/LSTM, shows an interest in advanced analytical techniques. Their professional experience at Finqy aligns well with the target role of Data Analyst, focusing on financial data. The breadth of skills (Power BI, SQL, Python, R, Tableau, Excel, Machine Learning) indicates a versatile and adaptable individual. Participation in college-level events suggests a degree of engagement and teamwork, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and collaboration skills, as evidenced by working closely with business and technical teams. Their experience in training new employees suggests a willingness to contribute to team development. The project descriptions indicate an ability to translate complex data into actionable business insights, which is crucial for operational fit in a data-driven role.