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Data Analyst with less than a year in deep learning, data engineering, and statistical analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented data enthusiast with strong analytical and problem-solving skills, seeking a Data Analyst role to apply deep knowledge of data engineering, recommender systems, and statistical analysis to drive actionable insights and business decisions.
Siddharth institute of engineering and Technology
Bachelor of Technology · Computer Science & Engineering (CAD)
N/A – June 30, 2026
Sri Chaitanya junior college
Intermediate-Mpc
N/A – May 31, 2022
V S N Siddhartha high school
SSC
N/A – May 31, 2020
Slash Mark IT Solutions (OPC) private limited
Data Analytics Intern
December 1, 2025 – Present
India
Online Recruitment Fraud (ORF) Detection Using Deep Learning
January 1, 2026 – June 1, 2026
Developed a text classification model to detect fraudulent job postings using transformer-based architectures (BERT, ALBERT). Pre-processed and labelled real-world job data with NLP techniques including tokenization, stop-word removal, and embedding. Achieved over 90% F1-score with a fine-tuned ALBERT model, outperforming traditional ML classifiers. Applied hybrid deep learning techniques combining CNN and LSTM for semantic and sequential feature extraction. Evaluated model performance using precision, recall, ROC-AUC, and confusion matrix analysis. Deployed a prototype model for integration into job portal fraud screening systems.
Sales Performance Dashboard & Analytics Pipeline
January 1, 2026 – June 1, 2026
Developed an automated Python ETL pipeline using Pandas to clean, deduplicate, and normalize 17K+ raw sales transactions, resolving inconsistencies in dates, casing, and missing fields. Engineered a normalized 3-table relational schema (Customers, Products, Orders) inside an in-memory SQLite database to preserve data integrity and run advanced relational queries. Built a responsive, dark-mode Streamlit dashboard with Plotly charts to track Net Revenue, Average Order Value (AOV), monthly seasonality, and regional splits. Integrated an interactive SQL playground in the application interface, allowing users to execute custom queries and audit records directly from the UI. Discovered through SQL queries that capping promotional discounts at 10% on Electronics reclaims over $1,200.00 in lost profit margin.
The Joy of Computing using Python
NPTEL
June 1, 2026 – Present
Data Analytics certification
Slash mark
June 1, 2026 – Present
Claude 101 certification
anthropic
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a strong interest in data analysis and machine learning, aligning well with a data-driven culture. The diversity of projects (sales analytics, fraud detection) indicates a broad interest in applying data skills to different domains. The candidate is currently pursuing a Bachelor's degree, suggesting a growth mindset and a desire for continuous learning. The certifications further support this. The target role of 'Data Analyst' is well-aligned with the demonstrated skills and project work.
Soft Skills & Operational Fit
The candidate demonstrates a motivated and detail-oriented approach, as stated in the career objective. Project descriptions indicate problem-solving skills and an ability to work with real-world data challenges. The internship description mentions improving analytical and problem-solving skills, suggesting a proactive learning attitude. However, specific examples of teamwork or stress handling are not provided.