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Senior Analyst with 3+ years in Data Analytics & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly accomplished Data Analyst with 3.6 years of experience in managing end-to-end market share intelligence workflows, developing automated web scraping pipelines, and optimizing data collection processes. Proven ability to translate complex data into actionable insights, deliver data-driven reports, and streamline bioinformatics workflows using Python scripting and DevOps practices. Skilled in a wide array of technical tools and methodologies including NLP, machine learning, and business intelligence, with a strong focus on driving strategic business decisions and achieving high data accuracy.
Indian Institute of Information Technology, Allahabad
Master of Technology · Bioinformatics
August 1, 2023 – June 30, 2025
JUIT, Solan
Summer Research Trainee
June 1, 2024 – July 1, 2024
Solan, Himachal Pradesh, India
Trailytics AI
Data Analyst
January 1, 2023 – Present
India
Smart Retail Query Interface (AtliQ QueryBot)
June 24, 2026 – Present
Built an NLP interface using Streamlit, integrating Google PaLM LLM with LangChain to translate English queries into SQL statements. Leveraged few-shot learning techniques to achieve 90% accuracy in SQL generation for non-technical users.
View ProjectWalmart Sales Data Analysis
June 24, 2026 – Present
Executed end-to-end analysis on 100,000+ transaction records using Python and SQL to identify revenue drivers and seasonal patterns. Optimized complex SQL queries, reducing execution time by 40% while uncovering customer purchasing behavior insights.
View ProjectSmartABCPeptide – AI-Powered Classifier for Breast Cancer Therapy
June 24, 2026 – Present
Engineered a high-precision classifier using Python to identify anti-breast cancer peptides, achieving robust performance across biological datasets. Performed extensive feature extraction and preprocessing on biological sequence data to optimize model input. Implemented hyperparameter tuning for various ML architectures to maximize classification accuracy and model generalizability.
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in applying data science to various domains, from bioinformatics to retail analytics and NLP. Their current role as a Data Analyst aligns well with the target role of Senior Analyst, indicating a clear career path. The breadth of technical skills (Python, SQL, ML, NLP, ETL) suggests adaptability and a willingness to learn new technologies, which is a positive indicator for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and professional experience. Their ability to manage end-to-end workflows and deliver data-driven reports suggests good organizational and communication skills. The experience as a Graduate Teaching Assistant indicates leadership potential and a collaborative mindset.