ANJANI SINGHAL

Software Developer

Noida, India 2+ yrs exp 84 · Excellent

About

Computer Science graduate and Software Developer with 2 years of professional experience at Rwizen Technologies. Proficient in Python, NumPy, Pandas, and Excel, with foundational knowledge of SQL and Power BI. Experienced in software development, data processing, analysis, and problem-solving, with a strong interest in applying technical and analytical skills to Data Research and Data Analytics roles.

Skills & Expertise (32)

NumPy Intermediate

7.6/10

Years Exp

Pandas Intermediate

7.6/10

Years Exp

Python Intermediate

7.6/10

Years Exp

SQL Intermediate

7.4/10

Years Exp

Unity Intermediate

7.0/10

Years Exp

VS Code Intermediate

7.0/10

Years Exp

GitHub Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Data Validation Intermediate

7.0/10

Years Exp

C# Intermediate

7.0/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

Data Handling Intermediate

7.0/10

Years Exp

Excel Charts Intermediate

6.4/10

Years Exp

Dashboards Intermediate

6.4/10

Years Exp

PivotTables Intermediate

6.4/10

Years Exp

Object-Oriented Programming Intermediate

6.4/10

Years Exp

Power BI Beginner

5.6/10

Years Exp

Countifs Beginner

5.6/10

Years Exp

VLOOKUP Beginner

5.6/10

Years Exp

XLOOKUP Beginner

5.6/10

Years Exp

React Beginner

5.0/10

Years Exp

Flutter Beginner

5.0/10

Years Exp

Firebase Beginner

5.0/10

Years Exp

MediaPipe Beginner

5.0/10

Years Exp

OpenCV Beginner

5.0/10

Years Exp

Operating systems Beginner

5.0/10

Years Exp

Computer Networks Beginner

5.0/10

Years Exp

DBMS Beginner

5.0/10

Years Exp

Data Structures & Algorithms Beginner

5.0/10

Years Exp

Canva Beginner

5.0/10

Years Exp

Figma Beginner

5.0/10

Years Exp

Java Beginner

5.0/10

Years Exp

Work Experience

Software Developer

Rwizen Technologies

Aug 2024 - Present

Develop and optimize interactive 2D and 3D applications using Unity and C#, focusing on performance, debugging, and functionality. Work with Python, NumPy, and Pandas for data processing, cleaning, analysis, and automation of structured datasets. Use Excel for data organization, analysis, reporting, and visualization, including PivotTables and lookup and aggregation functions. Apply data validation and analytical techniques to identify inconsistencies, investigate issues, and support effective solutions. Collaborate with teams on requirements, troubleshooting, data handling, and project delivery.