Data Science with less than a year in Python, SQL, and Power BI.
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 and detail-oriented student with a strong academic background in Artificial Intelligence and Machine Learning. Proficient in Python, SQL, Pandas, NumPy, and Power BI, with practical experience in data analysis, visualization, and generating actionable insights from complex datasets. Adept at applying analytical skills to real-world projects such as E-Commerce Sales & Customer Analytics and Customer Shopping Behavior Analysis, demonstrating a keen ability to uncover trends and support business decision-making. Eager to contribute to innovative data science initiatives.
St. John College of Engineering and Management
Artificial Intelligence and Machine Learning
August 1, 2023 – June 30, 2026
Late Shri Vishnu Waman Thakur Charitable Trust's College of Diploma & Technology
Computer Engineering
August 1, 2020 – June 30, 2023
Rajguru H.M. pandit High School
SSC
June 1, 2014 – May 31, 2020
E-Commerce Sales & Customer Analytics
June 1, 2026 – June 1, 2026
Performed exploratory data analysis on e-commerce transaction data to identify revenue trends, customer behavior, payment preferences, and delivery performance. Cleaned and prepared datasets using Python (Pandas, NumPy) for analysis and reporting. Developed interactive Power BI dashboards to visualize key sales and customer metrics. Generated insights from sales and customer data to support business performance analysis.
View ProjectCustomer Shopping Behavior Analysis
April 1, 2026 – April 1, 2026
Analyzed customer purchasing behavior, spending patterns, and subscription trends using transactional data. Cleaned and processed datasets using Python (Pandas, NumPy) to prepare data for analysis. Developed interactive Power BI dashboards to visualize customer trends, product performance, and key business metrics. Generated actionable insights to support customer behavior analysis and business decision-making.
View Project30 Days Python Micro Course
SkillCourse
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on data analysis and visualization, which aligns with typical data science roles. Their involvement in college committees indicates a willingness to participate and contribute to a team environment. However, the projects are academic and lack diversity in terms of industry or advanced methodologies, which might limit their immediate cultural fit into a senior-level, innovative data science team without further development.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as teamwork, attention to detail, discipline, adaptability, and willingness to learn, as listed in their resume. Their involvement in discipline committees suggests an ability to follow rules and contribute to organized environments. However, the lack of professional experience makes it difficult to assess operational fit in a real-world, fast-paced data science team.