Data Science with less than a year in Python, SQL & 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
Data Analytics professional with a strong foundation in Python, SQL, Excel, and data visualization tools. Skilled in collecting, cleaning, and analyzing data to generate actionable insights. Passionate about transforming raw data into meaningful business solutions and continuously improving analytical skills.
V.V.Vanniaperumal College for Women
Bachelor of Science · Information Technology
N/A – June 30, 2025
M.C.N.U.P.Higher Secondary School
HSC
N/A – Present
M.C.N.U.P.Higher Secondary School
SSLC
N/A – Present
HOUSE PRICE PREDICTION USING MACHINE LEARNING
June 10, 2026 – Present
Developed a predictive model focuses on predicting the house price using linear regression algorithm The model was trained and tested on the data to estimate property values accurately
HOTEL MANAGEMENT SYSTEM USING PYTHON
June 10, 2026 – Present
Designed and analyzed hotel operations workflow (booking, billing, and feedback) to identify process bottlenecks. Created reports and dashboards to track occupancy rates, revenue, and service performance for management decisions.
SALES PERFORMANCE DASHBOARD USING POWER BI
June 10, 2026 – Present
Built interactive dashboard to analyze sales, profit, and regional performance. Created DAX measures for Total Sales, Profit, and YoY growth. Used Power Query for data cleaning and transformation.
Data Science Certificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data science principles to various domains (real estate, hospitality, sales). This diversity, coupled with a clear aspiration for a Data Analytics/Data Science role, suggests a good cultural fit for a team focused on problem-solving and continuous learning. However, the lack of professional experience means the practical application of these skills in a corporate environment is unproven.
Soft Skills & Operational Fit
The candidate lists communication, creativity & innovation, critical thinking, teamwork & collaboration, leadership & mentoring, and interpersonal skills. These indicate a potential for good operational fit and collaboration within a team, which are valuable for a Data Science role.