Data Science with less than a year in Machine Learning, Python, and Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Manisha P is an aspiring Data Science professional with 0.8 years of internship experience in Machine Learning and Python Development. She holds a Master of Science in Computer Science and has worked on projects involving Twitter Sentiment Analysis using Power BI and Sales Revenue Forecasting with SQL. Her skills include Python, SQL, Power BI, and various data analysis and visualization techniques, making her proficient in extracting insights and building interactive dashboards.
Sri kanyaka parameswari arts and science college for women
Master of Science · Computer Science
August 1, 2024 – June 30, 2026
Sri kanyaka parameswari arts and science college for women
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2024
Unknown
intern -Machine learning
December 1, 2025 – March 31, 2026
Chennai, Tamil Nadu, India
Shiash Info Solutions Private Limited
Intern – Python Developer
May 1, 2024 – July 31, 2024
Chennai, Tamil Nadu, India
Sales Revenue Forecasting
January 1, 2024 – June 30, 2026
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.
Twitter Sentiment Analysis Dashboard
January 1, 2024 – June 30, 2026
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.
Cultural Fit Analysis
The candidate's projects and internships demonstrate an interest in data science and machine learning, aligning with the target role. The academic nature of most projects and the early career stage suggest a learning-oriented individual. However, the breadth of experience is limited to academic and internship settings, which might require more structured guidance in a professional environment. The diversity of tools (SQL, Power BI, Python, ML) shows a willingness to learn various technologies relevant to data science.
Soft Skills & Operational Fit
The candidate's resume indicates an ability to work on academic projects and internships, suggesting a foundational capacity for problem-solving and application development. However, without specific psychometric test results or interview data, it is difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.