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Data Science with 5+ years in Data Analytics & 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
Results-driven Data Science postgraduate with expertise in data analysis, machine learning, business analytics, AI-Prompt engineering, and MIS management. Skilled in building predictive models, developing dashboards, and managing large datasets to support decision-making. Strong ability to communicate insights, optimize processes, and deliver data-driven solutions that align with organizational goals.
Coimbatore University
MBA · Marketing Management
August 1, 2017 – June 30, 2019
IGNOU Delhi
BSC
August 1, 2011 – June 30, 2014
Nixthikes
Data Science Intern
November 1, 2025 – Present
India
Cognizant Technology Solutions
Process Specialist
April 1, 2021 – Present
Gurgaon, Haryana, India
Vplak. Com
Digital Marketing intern
January 1, 2019 – December 31, 2019
Gurgaon, Haryana, India
RGRC
Business Research intern
January 1, 2019 – December 31, 2019
Gurgaon, Haryana, India
Digital Marketing certification
Croma campus, Noida
June 1, 2026 – Present
PG certification in Data Science & AI
Digicrome institute, Noida
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background includes an MBA in Marketing Management and experience in digital marketing, which suggests a business-oriented perspective. The transition to Data Science indicates adaptability and a drive for new challenges. The 'Process Specialist' role involves collaboration and streamlining, which are positive indicators for team-oriented environments. However, the limited senior-level data science project experience makes it difficult to fully assess cultural fit for a highly specialized senior data science role.
Soft Skills & Operational Fit
The candidate lists teamwork, problem-solving, decision-making, leadership, communication, and time management as soft skills. The 'Process Specialist' role at Cognizant suggests experience in structured environments, workflow analysis, and collaboration, which aligns with operational fit. However, the primary experience in Data Science is an internship, which limits the depth of operational fit assessment for a senior role.