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Data Analyst with less than a year in Machine Learning and Data Science
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 results-driven Data Analyst with a strong background in Bioinformatics and Biotechnology. Possesses hands-on experience in Python, MySQL, data analysis, machine learning, and AI. Proficient in developing data pipelines, performing market segmentation, and building interactive dashboards to drive data-driven decisions and improve model reliability. Passionate about leveraging analytical skills to solve complex problems and contribute to innovative projects in data science and AI.
Bharti Vidyapeeth University
MSc · Bioinformatics
August 1, 2022 – June 30, 2024
Savitribai Phule Pune University
BSc · Biotechnology
August 1, 2019 – June 30, 2022
DOT, SPPU
Project Intern
November 1, 2023 – April 1, 2024
Pune, Maharashtra, India
Feynn Labs Services
Machine Learning Intern
November 1, 2023 – January 1, 2024
India
Pizza Sales Data Analysis
January 1, 2024 – January 1, 2024
• Designed and implemented an end-to-end data analytics pipeline by loading 48,620 records of pizza sales data into Microsoft SQL Server and performed in-depth analysis using SQL queries to extract KPIs such as total revenue, best/worst selling pizzas, peak order hours, and category-wise sales trends • Built an interactive Power BI dashboard by importing data directly from SQL Server, visualizing 6+ key metrics through charts, slicers, and KPI cards. • Validated dashboard accuracy by cross-verifying Power BI results against SQL query outputs, ensuring 100% data integrity and reporting consistency across 12 months of sales data.
Human Activity Recognition Using Machine Learning
January 1, 2024 – January 1, 2024
• Processed 10,000+ smartphone sensor data entries (561 features) for human activity recognition. • Trained and evaluated ML models (SVM, Logistic Regression, Random Forest), achieving 96.3 linear SVM for classifying activities like walking, standing, and sitting. • Skills: Python, Pandas, Scikit-learn, Seaborn, Logistic Regression, SVM, Decision Tree, Random Forest.
Data Science With Python
Firstbit solutions
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a blend of data analysis, machine learning, and bioinformatics, indicating a diverse interest and ability to apply skills across different domains. The 'Computational Design of Multiepitope Vaccine Candidates' project shows an aptitude for complex, research-oriented tasks, while the 'Pizza Sales Data Analysis' and 'Uber trip records' projects highlight business-oriented data analysis. This diversity suggests adaptability and a willingness to tackle varied challenges, which is a positive indicator for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, cross-domain research, collaboration, communication, and adaptability as soft skills. These align well with the collaborative and analytical nature of a Data Analyst role. The project descriptions indicate an ability to work independently on data pipelines and collaborate on business modeling, suggesting a good operational fit.