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Data Entry Clerk with Data Analysis Focus

Location:
Bengaluru, Karnataka, India
Posted:
May 05, 2026

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Resume:

Krishna Mohan Awasthi

Data Analyst

MCA student with strong analytical and problem-solving skills, eager to start a career in data analysis. Quick learner with the ability to understand business needs, interpret data, and deliver meaningful insights. Skilled in Excel, SQL, and Power BI with a passion for transforming raw data into clear, actionable reports. Motivated to apply analytical thinking, attention to detail, and technical skills in a dynamic data-driven environment.

**.*******.**@*****.***

800-***-****

UTTAR PRADESH, INDIA

linkedin.com/in/linkdinkrishn

aawasthi

github.com/Krishnawasthi

SKILLS

MS Excel MS Word

SQL Power Bi

Problem Solving

Product Management

Product Presentation

Leadership

Effective Communication

PROMPT ENGINEERING

LANGUAGES

ENGLISH

Full Professional Proficiency

HINDI

Full Professional Proficiency

INTERESTS

Solving Sudoku

SPORTS WRITING

PROBLEM SOLVING

EDUCATION

Master Of Computer Application

Galgotia's College Of Engineering And Technology

10/2023 - 2025, GREATER NOIDA

Computer Applications

Bachelor of Science

CSJMU Kanpur University

08/2018 - 10/2021, KANPUR

PCM

WORK EXPERIENCE

Event organizer

Galgotia's college and engineering and technology

03/2023 - 06/2025, Greater Noida

A reputed engineering college in Greater Noida known for academics, innovation, and student activities. planned and coordinated multiple cultural,technical and academic events for 500+ students. PERSONAL PROJECTS

Sales Dashboard in Excel (02/2025 - 03/2025)

Use Pivot Tables, Pivot Charts Metrics: Total Sales, Top 5 Products, Monthly Trend Features: Slicers, Conditional Formatting

SQL Sales Insights (05/2025 - 07/2025)

Write queries to find: Top-selling products Region-wise revenue Monthly growth No dashboard — only SQL logic.

HR Employee Attrition Analysis Tools: (07/2025 - 09/2025) Excel + Power BI Dataset: HR attrition dataset (Age, Salary, Department, Experience, Attrition Status) Tasks: Clean & model the HR dataset Find attrition drivers (salary, department, overtime) Create dashboard with: Attrition Rate Age-wise attrition Department-wise attrition Salary vs Attrition Outcome: Very common in interviews.

ACHIEVEMENTS

100+ Leetcode Questions (07/2024 - 2025)

Winner of cricket tournament at college

MCA

B.Sc

Achievements/Tasks



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