
AI Engineer with less than a year in Data Analytics & 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
Artificial Intelligence and Data Science student with hands-on experience in Data Analytics, Machine Learning, Power BI, SQL, and Python. Skilled in dashboard development, data visualization, and analytical problem-solving.
Shree Siddheshwar Women's College Of Engineering
Bachelor Of Technology · Artificial Intelligence And Data Science
August 1, 2023 – June 30, 2026
Government Residential Women's Polytechnic Latur
Diploma · Civil Engineering
August 1, 2020 – June 30, 2023
Terna Sakhar Karkhana Prashala TernaNagar
SSC
June 1, 2019 – May 31, 2020
Infosys SpringBoard
ElectionViz: Election Data Visualization for Media
December 1, 2025 – February 1, 2026
India
Superstore Sales Data Analysis Dashboard
June 1, 2026 – June 1, 2026
Developed an interactive sales dashboard analyzing 9,000+ retail transactions. Visualized KPIs including Sales, Profit, Quantity, and Profit Margin. Analyzed customer segments, product categories, and regional performance. Provided business insights through trend analysis and performance reporting.
SMS Spam Detection Using Machine Learning
June 1, 2026 – June 1, 2026
To reduce unwanted and irrelevant messages, enhancing the overall user experience for mobile users. Automates the detection process, saving users time and effort in manually filtering messages. To safeguard users from potentially harmful or fraudulent messages, such as phishing attempts and scams.
Data Science Foundation
Infosys SpringBoard
June 1, 2026 – Present
Prompt Engineering
Infosys SpringBoard
June 1, 2026 – Present
Power BI
Topmentor
June 1, 2026 – Present
Gen-AI
Topmentor
June 1, 2026 – Present
Data Analytics
Topmentor
June 1, 2026 – Present
Introduction To AI
Infosys SpringBoard
June 1, 2026 – Present
Cyber Security Fundamentals
IBM Skillbuild
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a strong interest and initiative in the data science and analytics domain. The 'Superstore Sales Data Analysis Dashboard' and 'ElectionViz' internship demonstrate an ability to work with diverse datasets and present insights, which aligns with a data-driven culture. However, the experience is primarily academic and internship-based, indicating limited exposure to diverse corporate environments or team structures. The breadth of skills is good for an entry-level role, but the depth of experience is still developing.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify problems (e.g., reducing spam, analyzing sales) and propose data-driven solutions. The internship experience suggests an understanding of data cleaning and reporting, which are crucial operational skills. However, without psychometric or English test scores, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration.