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AI Engineer with less than a year in ML & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate with hands-on ML & Data Analytics experience. Built AI systems across NLP, computer vision, and big data. Proficient in Python, Scikit-learn, TensorFlow, OpenCV, and PySpark. Seeking a Data Science / ML Engineering role where I can apply strong analytical and development skills to solve real-world problems.
Graphic Era Hill University, Dehradun
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
Graphic Era Hill University, Dehradun
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
Zaalima Development Pvt Ltd
Data Analytics & ML Intern
January 1, 2026 – April 1, 2026
India
Employee Sales Performance Dashboard - Power BI & Excel
March 1, 2026 – March 1, 2026
Developed an interactive Power BI dashboard tracking employee-wise sales performance, KPI cards for targets vs actuals, regional & department breakdowns, with dynamic filters for data-driven HR and sales decisions
Legal Contract Entity Extractor (NER)
March 1, 2026 – April 1, 2026
Built an NLP pipeline using spaCy & Python to extract key entities from legal contracts, automating indexing and reducing manual review
Scalable User Churn Prediction (Big Data ML)
March 1, 2026 – March 1, 2026
Designed a PySpark + Scikit-learn distributed pipeline processing 2TB+ logs, achieving 85%+ churn prediction accuracy
Food & Restaurant Analytics Dashboard - Power BI & Excel
March 1, 2026 – April 1, 2026
Built an interactive Power BI dashboard on a multi-table food dataset (orders, restaurants, food items, customers) analyzing sales & revenue trends, top-performing restaurants, customer order patterns, with dynamic slicers and filters
Music Recommendation System
September 1, 2025 – November 1, 2025
Content-based filtering engine in Python analyzing audio features (tempo, genre, key) to recommend similar tracks
Customer Feedback Sentiment Analysis
February 1, 2025 – May 1, 2025
An end-to-end AI system that automatically classifies customer feedback using NLP
30 Days Power BI Micro Course
SkillCourse
April 1, 2026 – Present
Research Methodology & Statistical Analysis
SWAYAM/NPTEL
February 1, 2025 – Present
Python 3.4.3 Training
Spoken Tutorial Project, IIT Bombay
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity (NLP, Big Data ML, Recommendation Systems, Data Analytics Dashboards) suggest a broad interest in AI and data science domains. The pursuit of a Master's degree and various certifications indicates a commitment to continuous learning, which is a positive cultural fit for a growth-oriented team. The projects are primarily academic, which is expected for an entry-level candidate, but they show initiative and a desire to apply learned concepts. The target role of 'AI Engineer' aligns well with the candidate's demonstrated technical interests and skills.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through multiple certifications and academic projects. The internship experience, though short, indicates an ability to contribute to data analysis and ML model development. The project descriptions suggest an understanding of problem-solving and applying technical skills to real-world scenarios. However, the lack of professional experience beyond a virtual internship means operational fit in a fast-paced, senior engineering environment is yet to be fully proven.