Entry-Level Power Bi

ASHWINI AMBURE

+91-789******* ***************@*****.*** http://www.linkedin.com/in/ashwini-ambure-506934281

To obtain an entry-level position in an IT company where I can utilize my technical skills, learn new technologies, and contribute to organizational growth while building a successful career in the IT industry.

EDUCATION

●Sharnbasva University: Kalaburagi, Karnataka - 2021-25

Bachelor of Engineering (B.E) in Computer Science Engineering - Grade:8.82 CGPA

●SBR Composite PU College: Kalaburagi, Karnataka - 2019-21

PUC - Grade: 84.16%

●Christ The King Convent School: Sholapur, Yadgiri, Karnataka - 2018-19

SSLC - Grade: 89.92%

SKILLS

Languages: HTML, C, Python, Basics of Java, R Programming

Database: My SQL

Tools: Excel, Power BI, Tableau, Power Query, Pivot Table, Charts, Data Visualization, Data Cleaning.

Soft skills: Active Listening, Adaptability, Problem Solving and Critical Thinking.

Language Known: English, Marati, Kannada, Hindi

CERTIFICATION

●Introduction To HTML-Issued by Simplilearn.

●Introduction To Python-Issued by Infosys Springboard.

●Python for data science- NPTEL Elite Certificate, Issued by IIT madras

PROJECTS

Routing in IoT Network with a Hybrid Optimizer (GA + PSO) using NS2 Simulator

Developed and simulated an optimized routing protocol for IoT networks using a hybrid Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to enhance network lifetime, energy efficiency, and packet delivery ratio.

Implemented the hybrid optimizer to dynamically select the best routing paths based on energy, distance, and delay parameters.

Conducted performance analysis through NS2 simulations, comparing the proposed hybrid approach with existing routing protocols.

Achieved improved throughput and reduced energy consumption compared to standard GA and PSO methods.

Vrinda Store Sales Data Analysis Dashboard Excel, Pivot Tables, Charts, Data Cleaning, Data Modelling

Analysed 12 months of e-commerce sales data to identify trends across gender, age groups, sales channels, and regions.

Designed an interactive dashboard using Pivot Tables, Pivot Charts, and slicers to visualize KPIs such as revenue, order status, and month-wise performance.

Discovered that women contributed 64% of total sales, with the highest orders from Myntra (23%) and Flipkart (21%), enabling actionable insights for targeted marketing.

Automated reporting process, reducing manual analysis time by 50%.

PERSONAL PROFILE

Nationality : Indian

Gender : Female

Date of Birth : 7 June 2003

INTERESTS

Coding, editing, Video editing, Listening to music

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