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Data Analyst with 2+ years in Data Analytics & Research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Research Analyst with 2 years of experience and a postgraduate degree in Data Analytics. Skilled in collecting, cleansing, and analyzing large datasets to generate actionable business insights. Proficient in MS Excel, database management, and structured reporting for performance monitoring and decision support. Experienced in preparing clear, data-driven reports while ensuring accuracy, compliance, and timely delivery. Detail-oriented and collaborative professional committed to supporting business growth through analytical excellence.
Mar Thoma College, Tiruvalla
Master of Science · Data Analytics
August 1, 2020 – August 1, 2022
GPM College, Manjeshwar
Bachelor of Science · Statistics
June 1, 2017 – March 1, 2020
FINQUEST
Research Analyst
July 1, 2023 – August 1, 2025
Bengaluru, Karnataka, India
WAHY LAB SOLUTIONS
Data Science Intern
February 1, 2022 – September 1, 2022
Cochin, Kerala, India
Certification in Full Stack Data Science Cource
AlmaBetter, Banaglore
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's background in both research analysis and data science internships, coupled with a Master's in Data Analytics, suggests a strong drive for continuous learning and application of analytical skills. Their experience across various industries (manufacturing, construction, food & beverage, pharmaceuticals, software & hardware, energy) indicates adaptability and a broad perspective, which could contribute positively to diverse team environments. The role as a Research Analyst aligns well with the target role of Data Analyst, showing a clear career trajectory.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their experience in identifying M&A opportunities and developing research reports. Their ability to manage large datasets, ensure data quality, and collaborate on data science projects indicates good operational fit. The experience in stakeholder management suggests good communication and collaboration potential.