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Statistician with 1+ years 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
Highly analytical and detail-oriented Statistician with 1.3 years of experience in providing statistical support, performing comprehensive stability analysis, and leading data-driven forecasting. Proficient in Python, R, SQL, and various statistical techniques, adept at root cause analysis and preparing quality review reports. Experienced in applying machine learning models for forecasting and skilled in data preprocessing and visualization.
Somaiya Vidhyavihar University
Master's in Statistics · Statistics
N/A – Present
Savitribai Phule Pune University
Bachelor of Science in Statistics · Statistics
N/A – Present
Cipla
Senior Executive | Junior Team Member – Statistician
October 1, 2025 – Present
India
Cipla
Apprentice | CQA – Statistician
March 1, 2025 – October 1, 2025
India
Analysis of temperature effects on Covid -19 cases
June 24, 2026 – Present
Objective: To check the correlation between Covid -19 cases and temperature • Studied the trend of Covid -19 cases over time. • Compared the cases data of 5 states for analysis.
forecasting of SBI stock prices using time series analysis and machine learning models
June 24, 2026 – Present
Objective: To forecast predicted values and compare with actual values. • Implemented ARIMA, SARIMA, ARMA and exponential smoothing for forecasting, with accuracy measured using RMSE, MAPE analysis. • Studied different methods and statistical tests using time series. • Automated data pre-processing using Python (Pandas, NumPy, Statsmodels) to predicts future stocks and compare with actual values.
Certified Data Analytics
Unknown
June 1, 2026 – Present
Advance excel
Unknown
June 1, 2026 – Present
SQL
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show initiative in applying statistical methods to real-world problems (Covid-19, stock forecasting). Their professional experience in a pharmaceutical company aligns well with roles requiring rigorous statistical application and regulatory understanding. The breadth of technical skills (Python, R, SQL, Minitab, ML, statistical techniques) indicates adaptability and a willingness to learn diverse tools, which is positive for cultural fit in a dynamic team. However, the experience level is relatively junior for a 'Senior' role, which might impact immediate cultural integration into a senior-level team without further development.
Soft Skills & Operational Fit
The candidate's experience at Cipla indicates an ability to work in a structured, regulated environment, coordinating with QA/QC teams. The project descriptions suggest an analytical mindset and problem-solving skills. However, specific soft skills like leadership, conflict resolution, or advanced teamwork are not explicitly detailed.