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AI Engineer with 2+ years in Data Science & 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
Highly motivated Computer Science graduate with hands-on experience in software development, data analysis, and AI solutions. Proficient in Python and familiar with SQL. Strong foundation in data structures, algorithms, and Rest APIs. Passionate about building scalable software and intelligent applications. Eager to contribute to cutting-edge innovation and real-world problem-solving.
SV COLLEGE OF ENGINEERING
Computer Science and Engineering · AI & ML
August 1, 2020 – June 30, 2024
VIKRAM JUNIOR COLLEGE
Intermediate · MPC
June 1, 2018 – May 31, 2020
ZPP HIGH SCHOOL
SSC · 10 class
June 1, 2017 – May 31, 2018
Cognifyz Technologies
Data Science Intern
January 1, 2024 – June 1, 2026
India
AI Image Description & Translation
January 1, 2024 – June 1, 2026
Developed a Streamlit-based AI application that generates image descriptions using Google's Gemini API and translates them into multiple languages using Google Translate. Integrated text-to-speech functionality with pyttsx3 for audio output. Technologies: Streamlit, Python, Google Gemini API, Google Translate
Customer Churn data analysis
January 1, 2024 – June 1, 2026
analysis of customer churn for Telcom, using a dataset with over 7,000 entries. Key insights include the higher churn rate among month-to-month contract holders and senior citizens, and a trend showing that customers with shorter tenure are more likely to churn. The analysis explores churn by various factors such as gender, payment methods, and services like internet and phone, using visualizations like pie charts and bar plots. Graphical representations by using data like pie ,bar,scatter,heat maps
View Projectpersonalized Genie - AI Chatbot
January 1, 2024 – June 1, 2026
Developed an AI-powered chatbot using Streamlit, LangChain, and Google Gemini to process and extract insights from PDFs, CSVs, and Excel files. Implemented FAISS for vector storage and semantic search, enabling accurate document-based Q&A. Technologies: Streamlit, LangChain, FAISS, Google Gemini AI, Python, PDFPlumber, Pandas, PyPDF2.
AI for All: From Basics to GenAI
Nvidia
January 1, 2024 – Present
Data Science and Al full stack certification
Unknown
January 1, 2024 – Present
NPTEL Certification - Python for data science
NPTEL
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying AI/ML concepts, including chatbots, image processing, and data analysis. The internship experience shows collaboration and practical application of data science techniques. The breadth of skills covers various aspects of AI/ML, indicating a willingness to explore different domains. This suggests a good cultural fit for a role that values continuous learning, innovation, and practical problem-solving in the AI space.
Soft Skills & Operational Fit
The candidate lists problem-solving, debugging, business problem-solving using AI, communication, time management, and adaptability as soft skills. These are generally well-aligned with an AI Engineer role, indicating a foundational understanding of professional conduct and problem-solving approaches. However, without specific examples or interview data, the depth of these skills cannot be fully assessed.