Data Analyst with less than a year in Data Analytics & Electrical Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MBA (Business Analytics) graduate/student with a background in Electrical & Electronics Engineering. Skilled in SQL, Power BI, Python, Excel, R Programming, and Data Analytics. Seeking opportunities as a Data Analyst, Business Analyst, MIS Executive, or Reporting Analyst.
Parvathaneni Brahmayya Siddhartha College of Arts and Science
MBA · Business Analytics
August 1, 2024 – June 30, 2026
Sir C.V. Raman Polytechnic College
Diploma · EEE
N/A – June 30, 2020
SRKR Engineering College
B.Tech · Electrical & Electronics Engineering
N/A – June 30, 2023
Deepthi High School
SSC
N/A – May 31, 2016
Power Mech Projects Limited
Graduate Trainee Electrical Engineer
June 1, 2024 – November 30, 2024
India
Singareni Thermal Power Plant
Intern
January 1, 2023 – January 1, 2023
India
Airline Delay Prediction and Management
June 18, 2026 – Present
• Analyzed airline and weather datasets using SQL, Python, and analytics techniques.• Identified delay patterns and contributing factors.• Created reports and visualizations for decision-making.
Cultural Fit Analysis
The candidate's academic project in 'Airline Delay Prediction and Management' shows an interest in applying data analytics to real-world problems. The pursuit of an MBA in Business Analytics further indicates a proactive approach to career development. While the previous work experience is in electrical engineering, the shift towards data analytics suggests adaptability and a clear career transition goal. The listed soft skills like teamwork and positive attitude are generally conducive to a positive cultural fit.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, positive attitude, quick learning ability, teamwork, and communication skills as strengths. These align well with the collaborative and analytical nature of a Data Analyst role. However, without specific examples or assessment data, the depth of these skills cannot be fully validated.