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Data Science with less than a year in Data Analysis & 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
Detail-oriented and analytical Data Scientist with hands-on experience in Python, SQL, Excel, and Power BI. Skilled in data cleaning, exploratory data analysis (EDA), machine learning, statistical analysis, and data visualization. Experienced in building predictive models and transforming complex datasets into actionable insights to support data-driven business decisions. Proficient in using analytical techniques to identify patterns, trends, and opportunities. Seeking an entry-level Data Scientist role to apply analytical, statistical, and machine learning skills to solve real-world business problems.
Prof Ram Meghe Institute of Technology and Research, Amravati
Bachelor of Engineering · Mechanical Engineering
August 1, 2021 – June 30, 2024
Acharya Shrimannarayan Polytechnic, Wardha
Diploma · Mechanical Engineering
August 1, 2017 – June 30, 2021
Rubix – AI Solutions Company
Data Science Intern
January 1, 2026 – Present
India
Rice Leaf Disease Detection using CNN
June 16, 2026 – Present
Developed a Convolutional Neural Network (CNN) model to classify rice leaf diseases into Bacterial Leaf Blight, Brown Spot, and Leaf Smut using image data. Performed image preprocessing and model evaluation using Python, TensorFlow/Keras, and OpenCV to improve disease classification performance.
Sales Data Analysis Dashboard
June 16, 2026 – Present
Analysed sales data using SQL and Python to identify revenue trends and customer patterns. Developed interactive Power BI dashboards tracking 10+ KPIs to uncover sales growth opportunities.
IABAC Certified Data Scientist (CDS)
IABAC
May 1, 2026 – Present
Certified Data Scientist
Datamites
January 1, 2026 – Present
Real-World Data Analytics Projects
CampusX
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical applications of data science, such as disease detection and sales analysis. The certifications and internship show initiative and a desire to align with a data science career path. The transition from Mechanical Engineering to Data Science indicates adaptability and a strong interest in the field. However, the overall diversity of projects and experiences is somewhat limited, which might impact broader cultural fit in highly diverse technical environments.
Soft Skills & Operational Fit
The candidate's resume highlights a detail-oriented and analytical approach. The project descriptions suggest an ability to work on structured problems and deliver actionable insights. However, without psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration skills.