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AI Engineer with 3+ years in Machine Learning and Data Analytics.
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Assessing your cultural and operational fit
Results-driven Data Analyst with 2.6+ years of experience in business analytics and digital marketing performance analysis. Skilled in Python, SQL, Power BI, Excel, Machine Learning, and dashboard development. Experienced in transforming raw data into actionable insights, automating reports, forecasting trends, and supporting decision-making.
BS & JR Degree College, Hyderabad
Bachelor of Science (B.Sc)
August 1, 2017 – June 30, 2021
Sri Chaitanya Junior College
Intermediate
June 1, 2015 – May 31, 2017
Geethanjali School
SSC
June 1, 2014 – May 31, 2015
Artificial Penetration Software Solutions Pvt. Ltd.
AI Engineer
January 1, 2026 – Present
Hyderābād, Telangana, India
Jai Ho Kisan Agriculture Company Pvt. Ltd.
Digital Marketing
June 1, 2022 – December 31, 2024
Hyderābād, Telangana, India
E-Commerce Project
June 19, 2026 – Present
Developed AI-powered skincare web app using Flask, MySQL, HTML, CSS, and JavaScript for personalized product recommendations. Built secure admin dashboard with login, product management, cart, and order tracking features. Optimized MySQL database workflows for faster product updates and better system performance. Designed responsive user interface to improve customer engagement and shopping experience.
Weather Trend Analysis
June 19, 2026 – Present
Collected historical weather data across 9 states using Python and geographic coordinates for climate trend analysis. Cleaned and handled temperature, humidity, and rainfall datasets to identify seasonal patterns. Built interactive Power BI dashboards to visualize long-term climate insights and regional trends. Refined reporting efficiency by 30% through automated dashboards and data visualization.
Cybersecurity Threat Analysis
June 19, 2026 – Present
Analyzed network traffic and security logs using Python, Pandas, and NumPy to detect anomalies and threats. Managed large-scale unstructured security datasets using data cleaning and preprocessing techniques. Built interactive Power BI dashboards to monitor threat trends, attack vectors, and vulnerabilities. Improved incident detection speed and reporting efficiency by 30% through real-time dashboards.
Cultural Fit Analysis
The candidate's project diversity, including an e-commerce web app with AI recommendations, weather trend analysis, and cybersecurity threat analysis, demonstrates a broad interest in applying data science and AI across different domains. The current AI Engineer role at Artificial Penetration Software Solutions Pvt. Ltd. directly aligns with the target role. The previous digital marketing role, while not directly technical, involved data analysis and reporting, showing adaptability and a business-oriented mindset. This breadth of experience and direct role alignment suggests a good cultural fit for an AI Engineer position that values diverse problem-solving approaches.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, team collaboration, time management, adaptability, and decision-making as soft skills. The project descriptions and professional experience indicate an ability to work with data, analyze trends, and present findings, which suggests a foundational level of these skills. The digital marketing role also implies collaboration and communication with business teams. However, without direct interview data, the depth of these soft skills cannot be fully assessed.