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Saloni RawatSR
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Saloni Rawat

@salonirawat

Python developer using data analysis and ML to build automation and backend solutions.

India
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What I'm looking for

I’m looking for a growth-oriented organization where I can apply my analytical and programming skills—especially Python, data analysis, and ML—to solve real-world problems and build automation-backed backend solutions.

I’m a Python Developer focused on turning messy data into reliable, automation-ready products. I bring hands-on experience across data analysis, machine learning, and backend development to help teams make faster, better decisions.

In my current role as a Python Developer Intern at LG Soft India, I designed real-time event and project tracking dashboards with dynamic filtering to improve visibility into WebOS program status. I also automated data extraction using Selenium and BeautifulSoup for scheduled updates, and built automation testing workflows in Python that reduced manual testing effort by 50%.

I built and maintained a Django-based Resource Management System with CRUD operations, role-based access control, and LDAP authentication for secure enterprise use. That combination of automation, security-minded backend work, and measurable efficiency improvements is how I like to ship.

My projects extend the same mindset: in Customer Behavior Analysis & Prediction, I used Pandas and SQL for cleaning, EDA, and segmentation insights, then evaluated Logistic Regression and Decision Tree models with Scikit-learn and visualized results with Matplotlib/Seaborn. In my AI-Log Classification System, I implemented a hybrid pipeline (Regex rules, BERT-based embeddings, and LLM fallback), built REST APIs with Flask, and containerized/deployed using Docker and cloud platforms while optimizing HuggingFace caching for faster inference.

Experience

Work history, roles, and key accomplishments

LI
Current

Python Developer Intern

LG Soft India

Jul 2025 - Present (11 months)

Designed real-time event and project tracking dashboards with dynamic filtering to improve WebOS program visibility, and automated scheduled data extraction using Selenium and BeautifulSoup. Developed and maintained Python automation testing workflows, reducing manual testing effort by 50%, and built a Django Resource Management System with CRUD, role-based access control, and LDAP authentication.

Education

Degrees, certifications, and relevant coursework

Lovely Professional University logoLU

Lovely Professional University

Bachelor of Technology (B.Tech), Computer Science Engineering

Grade: CGPA: 8.41/10

Pursuing a B.Tech in Computer Science Engineering at Lovely Professional University, expected to graduate in 2026. Coursework includes Data Structures, Algorithms, Database Management, and Operating Systems.

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