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Data Analyst with less than a year in Python, SQL, and Power BI.
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 fresher with strong foundational skills in data analysis. Experienced in using Excel, SQL, Python, and visualization tools like Power BI/Matplotlib to clean, analyze, and interpret datasets. Passionate about turning raw data into meaningful insights that support decision-making.
Malla Reddy Institute of Technology and Science
B. Tech · CSE (Data Science)
August 1, 2021 – June 30, 2025
Sri Chaitanya Junior College
Intermediate · MPC
June 1, 2019 – May 31, 2021
Krishnaveni Talent School
SSC
June 1, 2018 – May 31, 2019
Animal Species Classification Using XGBoost and Machine Learning
January 1, 2025 – December 31, 2025
Developed XGBoost model to classify animal species using Zoo dataset features. Improved accuracy and identified key features affecting classification. Automated species identification to simplify biological data analysis.
View ProjectAI for Mental Wellness: Deep Learning-Based Text Prediction and Assessment
January 1, 2025 – December 31, 2025
Built a deep learning model using Word2Vec embeddings and BiLSTM to classify mental health states. Applied advanced preprocessing and tokenization to extract contextual features and boost detection accuracy. Automated and improved psychological state identification from natural language input.
View ProjectTraffic Violation and Compliance Analysis Dashboard using Excel
January 1, 2025 – December 31, 2025
Developed an interactive Excel dashboard to analyze traffic violations and compliance data across cities. Utilized pivot tables, charts, and slicers to visualize key metrics and trends. Generated insights on driver behavior and rule enforcement to enhance road safety.
View ProjectDrug Recommendation System Based on Sentiment Analysis of Drug Reviews
January 1, 2025 – December 31, 2025
The system analyses drug reviews using machine learning and NLP to understand user opinions and sentiments. It classifies each review as positive, negative, or neutral to evaluate the overall effectiveness of a drug. Based on sentiment scores, it recommends the best-rated drugs for specific diseases or conditions.
View ProjectNPTEL online certification-Introduction to machine learning
NPTEL
June 1, 2026 – Present
Certification of completion from Infosys springboard -python
Infosys springboard
June 1, 2026 – Present
Certification of completion from mind luster-CSS
mind luster
June 1, 2026 – Present
Certificate of completion from Great Learning-HTML
Great Learning
June 1, 2026 – Present
Certificate of completion from TCSION Carrer edge-Communication
TCSION Carrer edge
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis and machine learning across different domains (biology, mental health, traffic, pharmaceuticals). This breadth suggests an adaptable individual who can engage with various problem spaces. The academic background in CSE (Data Science) and certifications align well with a data-driven culture. The volunteer experience with the National Service Scheme (NSS) indicates a potential for teamwork and community engagement, which can contribute positively to cultural fit.
Soft Skills & Operational Fit
The candidate lists adaptable, time management, quick learner, and problem-solving as soft skills. These are beneficial for a data analyst role, indicating a potential for independent work and continuous learning. However, without direct assessment, the practical application of these skills in a professional setting is not yet validated.