Data Analyst with less than a year in BI tools & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with strong academic background in Data Science and hands-on experience in BI tools, dashboard development, ETL processes, data wrangling, reporting automation, and analytics. Skilled in Power BI, Tableau, Excel, SQL, Python, and Alteryx concepts. Experienced in data cleansing, KPI scorecards, dashboard testing, statistical analysis, and business reporting. Strong problem-solving mindset with excellent communication and agile teamwork skills.
Mallareddy University
B.Tech · Computer Science Engineering (Data Science)
August 1, 2021 – June 30, 2025
AICTE EduSkills
AWS Cloud Intern
September 1, 2023 – November 1, 2023
India
AICTE EduSkills
Data Analytics Intern
May 1, 2023 – July 1, 2023
India
Credit Card Fraud Detection & BI Dashboard
June 1, 2026 – Present
Performed data wrangling, cleansing, transformation and feature engineering on transaction datasets. Built predictive models using Logistic Regression and Random Forest with 94% accuracy. Designed Power BI dashboards, KPI scorecards, and fraud trend reports. Conducted dashboard testing and validation checks for data accuracy. Generated business insights for fraud prevention strategies.
Intrusion Detection System using Deep Learning
June 1, 2026 – Present
Analyzed network traffic patterns using statistical techniques. Developed CNN & LSTM models achieving 97% detection accuracy. Built Tableau dashboards for visual reporting and scorecards. Improved troubleshooting efficiency using anomaly detection.
Generative AI Fundamentals
Unknown
June 1, 2026 – Present
Data Analytics with Python
NPTEL
June 1, 2026 – Present
Machine Learning with Python
Unknown
June 1, 2026 – Present
AWS Cloud Foundation
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a proactive learning attitude and exposure to diverse areas within data science and cloud. The projects show an interest in applying analytical skills to real-world problems (fraud detection, intrusion detection). The AWS Cloud Intern experience, while not directly data analysis, shows breadth and adaptability, which can be a positive for cultural fit in dynamic environments. However, the experience level is entry-level, which might require more mentorship.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, teamwork, adaptability, and critical thinking as soft skills. These are crucial for a Data Analyst role, indicating a potential good operational fit. However, these are self-declared and not validated by assessment data.