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Data Analyst with less than a year in Machine Learning & LLM-integrated workflows.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science professional specializing in machine learning, computer vision (OpenCV), and LLM-integrated workflows. Experienced in building end-to-end predictive models, curating structured and unstructured datasets, and delivering KPI-driven dashboards. Proficient in Python, SQL, Power BI, and Scikit-learn, with hands-on experience integrating large language models into automation pipelines to improve efficiency and insight generation.
Priyadarshini College of Engineering, Nagpur
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Fireblaze Technologies
Data Analyst Intern
April 1, 2025 – September 1, 2025
India
Supply Chain Analysis & Late Delivery Prediction
June 21, 2026 – Present
Analyzed 172,765 supply chain orders to identify delivery bottlenecks and profitability risks; uncovered 54.71% late delivery rate and $2.1M profit at risk. Built a Random Forest classifier with 74% accuracy for predicting late deliveries, enabling proactive operational decision-making.
View ProjectFace Detection & AI Scene Describer
June 21, 2026 – Present
Building a real-time face detection system using OpenCV Haar Cascade classifier to identify and annotate faces with bounding boxes from webcam and image inputs. Integrating LangChain with Claude API to automatically generate natural language scene descriptions including person count, estimated context, and spatial layout. Designing end-to-end pipeline: image capture → CV preprocessing → face detection → LLM prompt generation → structured JSON insight output.
View ProjectStock Market Analysis & Predictive Modeling
June 21, 2026 – Present
Analyzed historical data for 50 NIFTY-listed companies using RSI, MACD, and Moving Averages; XGBoost classifier achieved 68-72% directional accuracy. Designed dashboards ranking stocks by prediction probability and confidence scores to support investment decision workflows.
Data Science and Analysis
Fireblaze Technologies
August 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a strong interest in data science, machine learning, and AI, aligning well with a data-driven culture. The diversity of projects (supply chain, face detection, stock market) indicates adaptability and a broad curiosity. The use of modern tools like LangChain and Claude API suggests a willingness to explore and adopt new technologies. However, the candidate is still early in their career, and their cultural fit would benefit from further assessment of their collaboration style and ability to navigate complex organizational dynamics.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving through project work, such as identifying supply chain bottlenecks and building predictive models. Their internship experience highlights an ability to improve operational efficiency through automation and dashboard creation. The integration of LLMs suggests an innovative mindset. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.