Data Analyst with less than a year in trend forecasting and anomaly detection
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Data Analyst with real project experience in trend forecasting, anomaly detection, and business insights reporting. Proficient in Python, SQL, Power BI, and Excel with a strong foundation in data modeling, storytelling with dashboards, and presenting insights to non-technical users. Motivated to use analytical thinking and data strategy to support business growth and informed decision-making.
C.V Raman Global University, Bhubaneswar, India
B.Tech · CSE
August 1, 2021 – June 30, 2025
Oxford Public School, Ranchi, India
Class 12 · PCM Stream
June 1, 2019 – May 31, 2020
D.A.V Public School, Bokaro, India
Class 10
June 1, 2017 – May 31, 2018
Real-Time AI Stock Predictor
September 1, 2025 – October 1, 2025
Built a real-time stock price prediction system leveraging LightGBM models, generating BUY/SELL signals with confidence scoring up to 88% accuracy. Designed a fully interactive dashboard using Streamlit + Plotly, providing live visualizations including candlestick charts, RSI/MACD analysis, and automated insights — increasing interpretability by 60%. Automated live stock data ingestion from Yahoo Finance and engineered technical indicators (SMA, EMA, MACD, RSI) using feature pipelines, reducing manual data preparation by 90%. Implemented modular backend architecture (training, inference, historical download, live fetch) improving maintainability and future extensibility for crypto, forex, and global indices.
View ProjectBusiness Anamoly detection Platform
June 1, 2025 – July 1, 2025
Developed a full-stack forecasting and anomaly detection platform enabling businesses to analyze custom datasets and detect performance irregularities with 92% precision in anomaly classification. Integrated Prophet/ARIMA forecasting models to predict future sales trends with an average MAPE score of 11.4%, helping users anticipate future revenue shifts and seasonal patterns. Engineered a modular backend using FastAPI with ML endpoints for inference, preprocessing, file uploads, and automated insights - reducing computation latency by 45%. Built an interactive UI with React.js + Chart.js, supports visualizations for trend analysis anomaly highlights.
View ProjectE-commerce Analytics & Forecasting Dashboard
March 1, 2025 – April 1, 2025
Developed an interactive business intelligence dashboard using Power BI + DAX, enabling real-time exploration of sales KPIs, customer segments, and regional performance — improving data visibility by 75%. Implemented Prophet forecasting models to predict weekly sales trends with 91% accuracy, supporting future demand planning and inventory optimization decisions. Integrated Isolation Forest anomaly detection, identifying revenue spikes and irregularities with 87% detection precision, reducing manual review time for analysts.
View ProjectCultural Fit Analysis
The candidate's academic projects showcase a strong interest in data analysis, machine learning, and business intelligence, aligning well with a Data Analyst role. The diversity of projects (stock prediction, business anomaly detection, e-commerce analytics) indicates a broad curiosity and willingness to apply skills across different domains. However, the lack of professional experience and focus solely on academic projects might suggest a need for mentorship and adaptation to corporate environments and team dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a results-oriented approach, focusing on precision, accuracy, and efficiency improvements. The academic projects demonstrate initiative and a proactive learning attitude. However, without specific psychometric or English test results, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, and team collaboration in an operational context.