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Data with 1+ years in SQL, Python & Power BI
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 Analyst with expertise in SQL, Python, Power BI, and Machine Learning. Experienced in customer acquisition strategies, data validation, and business consulting for Fortune 500 clients. Strong analytical and problem-solving skills with proven ability to deliver data-driven insights that support business growth.
Gitam Deemed University, Visakhapatnam
Master of Science in Data Science · Data Science
August 1, 2021 – June 30, 2023
St. Ann’s College for Women, Mehdipatnam
Bachelor of Science in Statistics · Statistics
August 1, 2018 – June 30, 2021
Fortune Butterfly School, Kadthal
Senior Secondary (CBSE)
June 1, 2016 – May 31, 2018
Fortune Butterfly School, Kadthal
X Grade (CBSE)
June 1, 2016 – May 31, 2016
MathCo
Data Analyst
August 1, 2024 – August 1, 2025
India
Power BI Certification
Udemy
June 1, 2026 – Present
Data Analytics & Consulting Bootcamp
MathCo (Challengers Program)
June 1, 2026 – Present
Appreciation Award in MATHCO, for creating significant impact by delivering efficient results
MATHCO
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and initial professional experience align well with a data-centric role. The 'Challengers Training Program' and 'Appreciation Award' indicate a proactive and results-oriented mindset. The UPSC preparation period, while not directly technical, suggests resilience and a broad understanding of societal structures, which could be beneficial in understanding business contexts. However, the limited professional experience makes a deep assessment of cultural fit challenging.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and critical thinking skills, which are crucial for a data role. The experience in UPSC preparation suggests discipline and structured problem-solving. However, the short professional experience and lack of detailed project descriptions limit the assessment of operational fit and collaboration in a fast-paced environment.