My Portfolio - Sailesh Rana

About me

I am a Data Analyst with a Master of Data Science, focused on transforming data into actionable insights that drive business outcomes. With expertise in Python, SQL, Power BI, and advanced analytics, I specialize in working with large datasets to uncover trends and provide strategic recommendations.

I have practical experience in HR data analysis, property data engineering, and supply chain optimization. My work involves creating interactive dashboards, building predictive models, and conducting exploratory data analysis (EDA) to identify key patterns and support decision-making.

Additionally, I have practical experience in data integration, process automation, and optimizing operations through cloud platforms and machine learning. My ability to simplify complex data into clear, visual insights has helped businesses improve efficiency and make data-driven decisions.

I am committed to continuous learning and applying my skills to solve real-world problems, always striving to contribute to projects that have a meaningful impact on business success.

What i'm doing

Data Analysis

Extracting insights from raw data using Python, SQL, and visualization tools like Power BI.
Machine Learning

Building and evaluating models such as Decision Trees, Random Forests, and Neural Networks for prediction and classification tasks.
Data Engineering

Experience working with data integration tools and managing databases on local servers.
Cloud & Tools

Skilled in using AWS (Cloud Practitioner certified) and tools like SyncSpider for integration between platforms (Shopify, Unleash, Cin7).

Tools & Technologies I Use

Resume

Work Experience

Logistics Cloud Co.
Aug 2024 — Oct 2024
Data Analyst Intern
- Integrated various platforms, including Shopify, Unleash, Cin7 Omni, and Cin7 Core, using SyncSpider for seamless data synchronization.
- Managed and maintained the database on a local server, ensuring data accuracy and consistency.
- Resolved technical challenges in SyncSpider, such as implementing data filters based on last updated datetime and formatting data.
Data N Stats
Aug 2021 — Jun 2022
Associate Software Engineer
- Developed media monitoring tools to aggregate public information from the web and social media.
- Conducted analyses, including opinion mining, brand monitoring, sentiment analysis, trend analysis, and more, on the gathered data.
- Created trade data analysis systems to collect import and export data and performed analyses such as time series analysis for price prediction and competitor analysis.
- Led a group of interns as a team leader.
Kirketon Hotel
Jan 2022 — Present
Night Auditor
- Conduct nightly audits of financial transactions.
- Assist guests with check-ins and check-outs during the evening hours.
- Generate reports summarizing nightly activities.

Education

Charles Darwin University

Master of Data Science

In this program, I deepened my expertise in data analysis, machine learning, and data visualization. I worked on real-world projects, applying advanced analytics techniques to extract insights from large datasets, develop predictive models, and optimize business decision-making
Sharda University

Bachelor of Technology in Computer Science and Engineering

This undergraduate program provided a solid foundation in computer science, programming, and engineering principles. I gained hands-on experience in software development, algorithms, and database management, which has proven essential in my transition to data analytics and data science.

Professional Development

Perfomance Education

IT Professional Year

This program is currently enhancing soft skills, focusing on IT tools, project management, and workplace communication. I am actively engaging in training sessions that are preparing me for future internships, where I will apply my theoretical knowledge to real-world scenarios in the IT industry.