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Senior Analyst with 10+ years in data management, analytics & quality assurance
Detail-oriented professional with over 6 years of experience in the insurance and finance sectors. Proven expertise in performance reporting, analytics, data management, and quality control. Proficient in SQL, Python, Power BI, Excel, and Microsoft Office. Skilled in designing, analyzing, and presenting data to support both operational management and strategic decision-making. Strong ability to identify operational issues, improve customer experience, and visualize data insights effectively. Completed an M.Sc. in Data Science with Distinction (76%) and passionate about leveraging data to solve complex business challenges. Open to relocation and currently seeking roles in data analyst, or quality assurance with strong analytical components.
University of Hertfordshire
Master of Science · Data Science
August 1, 2023 – June 30, 2024
Loyola College
Bachelor of Science · Mathematics
August 1, 2013 – June 30, 2016
GTEM Manufacturing Company
Quality Analyst
September 1, 2025 – May 31, 2026
UK
NNA Ltd
Data Administrator
September 1, 2023 – Present
Painswick, England, United Kingdom
HDFC Life
Associate Area Business Partner
April 1, 2023 – July 31, 2023
India
RR Donnelley (McGriff)
Data Analyst
June 1, 2017 – November 30, 2022
India
Accenture (Cenlar)
Process Analyst
February 1, 2017 – June 30, 2017
India
RR Donnelley (Barclays)
Associate
July 1, 2016 – December 31, 2016
India
Predicting Stock Market Trends Using Machine Learning Model LSTM And Prophet
January 1, 2024 – December 31, 2024
Objective: Developed and evaluated LSTM and Prophet models to forecast Barclays PLC stock market trends using historical data. Data Processing: Performed mean imputation, MinMaxScaler normalization, and engineered 100-day and 200-day SMA features for trend identification. LSTM & Prophet Models: Trained a Bidirectional LSTM model (Adam optimizer, 100 epochs) for short-term forecasting and applied Prophet for long-term trend and seasonality analysis. Performance & Technologies: Compared models using RMSE; utilized Python, TensorFlow/Keras, Prophet, NumPy, Pandas, Matplotlib, and Yahoo Finance API.
View ProjectAdvanced Microsoft Power BI
Coursera
June 1, 2026 – Present
Master Program in Data Science and AI
FITA Academy
June 1, 2026 – Present
Google Data Analytics
Google, Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including an academic project on stock market prediction and professional roles in data administration and quality analysis, indicates adaptability and a broad interest in data-driven problem-solving. Their experience in various industries (insurance, finance, manufacturing, hospitality) suggests a willingness to engage with different business contexts. The target role of 'Senior Analyst' aligns well with their demonstrated analytical capabilities and leadership experience, although the specific domain of the target role would further clarify the cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in team collaboration, stakeholder communication, and attention to detail, as evidenced by their experience in leading teams, facilitating huddles, and managing client relationships. Their operational fit is good, with a history of improving process efficiency, ensuring compliance, and driving data-driven decision-making.