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Data Analyst with 2+ years in operational and management analytics.
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Assessing your cultural and operational fit
Aspiring Data Analyst with 2 years of experience in a Non-Banking Financial Institution, specializing in operational and management analytics. Certified in Data Science & AI, with proficiency in Python, SQL, Power BI, Tableau, Excel, and Machine Learning. Skilled in data wrangling, cleaning, preprocessing, visualization, KPI dashboard development, and statistical analysis. Experienced in converting complex datasets into actionable business insights across domains such as retail, finance, entertainment, and environmental analytics. Passionate about leveraging business intelligence, predictive modeling, and data storytelling to enhance operational efficiency and enable data-informed decision-making.
Boston Institute of Analytics
Diploma in Data Science and Artificial Intelligence · Data Science and Artificial Intelligence
March 1, 2025 – October 1, 2025
Mahatma Gandhi University
Bachelor of Arts (B.A) · Economics
July 1, 2016 – May 1, 2019
Newton AI
Data Science Intern
October 1, 2025 – December 1, 2025
New York City, New York, United States
Heavenly Creation Kurichy
Freelancer
October 1, 2023 – January 1, 2025
India
United Investments
Office Assistant
March 1, 2023 – September 1, 2023
Kottayam, Kerala, India
Cholamandalam Investment and Finance ltd
Operational Executive
March 1, 2022 – November 1, 2022
India
Manappuram Finance ltd
Senior Assistant
February 1, 2021 – January 1, 2022
Kottayam, Kerala, India
Fraud Detection & Financial Transaction Analysis
June 21, 2026 – Present
Developed a fraud detection model using Python, Pandas, Scikit-learn, and Matplotlib to identify suspicious financial transactions. Performed data cleaning, EDA, and feature engineering to improve classification model accuracy and reliability. Delivered insights on financial impact, highlighting potential loss and money saved due to fraud detection. Created Power BI/Tableau dashboards to visualize fraud trends and financial impact analysis for actionable insights.
Murder Rate Forecasting in Kerala
June 21, 2026 – Present
Built ARIMA and SARIMA time series models to forecast future murder a rate trends in Kerala based on previous datasets. Conducted data cleaning, stationarity testing, and ACF–PACF analysis to identify optimal model parameters for accurate predictions. Performed trend, seasonality, and residual analysis to evaluate forecasting performance and ensure time series reliability.
Data Science & AI
Newton AI
October 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity (fraud detection, murder rate forecasting) and the range of tools used (Python, SQL, Power BI, Tableau) indicate a willingness to explore different domains and technologies. The target role of Data Analyst aligns well with the recent diploma and internship experience. However, the significant portion of non-technical work experience might suggest a career transition, which could impact immediate cultural integration into a purely technical team without further validation.
Soft Skills & Operational Fit
The candidate's previous roles in finance and event management suggest experience in operational coordination, client handling, and attention to detail, which are transferable soft skills. The internship at Newton AI indicates an ability to work in a data-focused environment and contribute to actionable insights. However, the majority of professional experience is not directly in data analysis, which might require a transition period.