M Shrish
Results-driven Data Analyst with a strong academic foundation in Computer Applications and hands-on experience in data science and analytics. Skilled in Python, SQL, Power BI, and Tableau for extracting actionable insights from complex datasets.
Demonstrated expertise in machine learning, exploratory data analysis, financial analytics, and business intelligence through impactful internships and real-world projects, transforming raw data into compelling visual narratives that drive strategic decision-making.
Experience
Data Analyst Intern
Amdox Technologies
Bangalore, Karnataka
Analyzed large-scale business datasets using SQL and Python to identify trends, anomalies, and key business drivers. Developed and maintained interactive Power BI dashboards and reports, enabling stakeholders to monitor KPIs in real time. Performed Exploratory Data Analysis (EDA) to uncover patterns and deliver data-backed recommendations that improved operational efficiency.
Collaborated with cross-functional teams to translate business requirements into analytical frameworks. Automated routine data reporting tasks using Python scripts, reducing manual effort by approximately 30%.
Data Science Intern
Innomatics Research Labs
Bangalore, Karnataka
Built and evaluated machine learning models using Python (Scikit-learn) for classification and regression use cases. Conducted in-depth data preprocessing and feature engineering on real-world datasets to enhance model accuracy. Applied statistical techniques and data visualization tools to present findings to technical and non-technical audiences.
Gained hands-on exposure to end-to-end data science workflows, including data collection, cleaning, modeling, and deployment. Queried and managed large datasets efficiently in a cloud environment using Google Big Query.
Education
Kristu Jayanti College
Master of Computer Applications (MCA)
CGPA: 7 / 10
Rani Chennamma University
Bachelor of Computer Applications (BCA)
Percentage: 86%
Skills
Projects
Crypto Time Series Forecasting System
Engineered a cryptocurrency price forecasting system leveraging historical market data and time series techniques. Analyzed price trends and market fluctuations through data visualization to predict future price movements.
Built a Streamlit application to display historical prices and forecast results, comparing predicted vs. actual values. Designed an intuitive interface for interactive cryptocurrency price analysis.
Financial Fraud Detection Analysis
Developed a fraud detection system to classify financial transactions as genuine or fraudulent. Processed large transaction datasets and handled class imbalance during model training.
Identified suspicious transaction patterns and built an interactive dashboard to detect fraud in real time. Evaluated model performance using classification metrics and visualized fraud trends through interactive charts.
Customer Churn Prediction
Developed a machine learning model to predict customers likely to discontinue a service. Analyzed customer demographics, subscription details, and payment history to identify churn factors. Compared multiple classification algorithms and selected the best-performing model. Built a Streamlit application to predict customer churn and visualize customer behavior trends.
Certifications
Deloitte Australia Data Analytics Virtual Simulation
Data analysis, Tableau dashboard creation, Excel-based data classification and business conclusions.
Power BI by Office Master
Data modeling, DAX, dashboard creation, and AI-based insights in Power BI.
Best Final Year Project, SVS College
Power BI dashboard analyzing academic performance across 2 departments over 3 years.