My Portfolio - Sailesh Rana

About me

I'm a dedicated data scientist and developer with a strong interest in technology and innovation. I recently completed my Master of Data Science, building a solid foundation in Python, machine learning, and data analytics to solve real-world challenges.

One of my most rewarding experiences was conducting research on dynamic Nepali Sign Language recognition, which was published in Advanced Computer Science Applications. This project aimed to support more inclusive communication.

Throughout my journey, I’ve worked on projects involving media monitoring, sentiment analysis, image recognition, and process automation. During my internship at Logistics Cloud, I focused on data integration and cloud platforms to help improve business efficiency.

I'm always eager to learn, explore new tools, and contribute to meaningful, data-driven solutions.

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

Education

Charles Darwin University

Master of Data Science
Sharda University

Bachelor of Technology in Computer Science and Engineering

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.