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Data Science with less than a year in Machine Learning, Python, 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 results-driven individual with a Master of Science in Computer Science and hands-on experience in machine learning, data analysis, and visualization. Possessing technical expertise in Python, SQL, Power BI, and various data analysis and visualization tools. Proven ability to develop interactive dashboards, build predictive models, and derive actionable insights to support business decision-making. Eager to apply analytical and problem-solving skills in a dynamic data-driven environment.
Sri kanyaka parameswari arts and science college for women
Master of Science · Computer Science
July 1, 2024 – May 1, 2026
Sri kanyaka parameswari arts and science college for women
Bachelor of Science · Computer Science
June 1, 2021 – May 1, 2024
AI-Powered Talent Management System | Machine Learning
intern -Machine learning
December 1, 2025 – March 1, 2026
Chennai, Tamil Nadu, India
Shiash Info Solutions Private Limited
Intern – Python Developer
May 1, 2024 – July 1, 2024
Chennai, Tamil Nadu, India
Twitter Sentiment Analysis Dashboard
June 19, 2026 – Present
Developed an interactive dashboard to analyze public sentiment (positive, negative, neutral) from Twitter data. Performed data cleaning and transformation using Power Query; created DAX measures for sentiment percentages and trend analysis. Visualized sentiment distribution, time-based trends, and keyword insights with dynamic slicers for filtering.
Sales Revenue Forecasting
June 19, 2026 – Present
Developed a normalized 6-table SQL database schema to store and analyze historical sales data by product and region. Used SQL queries with JOINs, aggregate functions, and window functions to generate monthly and yearly sales reports. Derived actionable insights to support business decision-making and future sales planning.
Cultural Fit Analysis
The candidate's academic projects and internships show a clear alignment with data science and machine learning roles. The diversity of projects (sentiment analysis, sales forecasting, talent management system) indicates a broad interest within the data domain. The pursuit of a Master's degree immediately after a Bachelor's suggests a commitment to continuous learning, which is a positive cultural fit indicator. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project and experience descriptions indicate a focus on problem-solving and practical application of technical skills. The academic projects and internships suggest a proactive learning attitude. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.