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Data Science with less than a year in Machine Learning & Data Analysis
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Assessing your cultural and operational fit
Saloni Malpani is a dedicated Data Science professional with 11 months of experience in machine learning and data analysis. She holds a Master of Science in Mathematics and has a strong background in developing predictive models, performing HR and manufacturing performance analysis, and creating interactive dashboards. Her expertise spans programming languages like Python and R, and tools such as Power BI, Tableau, MySQL, and Advanced Excel, enabling her to deliver actionable insights and support data-driven business decisions.
Savitribai Phule Pune University
Master of Science · Mathematics
July 1, 2021 – July 1, 2023
Psyliq
Data Analyst Intern
April 1, 2024 – May 1, 2024
India
AI Variant
Data Analyst & Data Scientist Trainee
July 1, 2023 – April 1, 2024
India
Movie Recommendation System
June 25, 2026 – Present
Built a content-based recommendation model using IMDb data; applied feature engineering on genres, ratings, and keywords using Scikit-learn to deliver personalized movie suggestions.
Resume Classification
June 25, 2026 – Present
Developed an NLP pipeline with BOW, TF-IDF, and Word2Vec; trained models like Logistic Regression, SVM, and MLP using Scikit-learn and achieved an F1-score.
Bankruptcy Prevention
June 25, 2026 – Present
Built a binary classification model using logistic regression, decision trees, and neural networks; applied feature engineering and hyperparameter tuning to achieve an F1-score.
HR Analytics (Employee Retention & HR Data Analysis)
June 25, 2026 – Present
Analyzed 50k+ employee records using Power BI, Tableau, and Excel; visualized attrition trends, income distribution, and KPIs across departments.
Manufacturing Performance Analysis
June 25, 2026 – Present
Tracked metrics such as manufactured quantity, rejected parts, and waste generation; created dashboards to monitor department-wise efficiency and machine performance.
Healthcare (Dialysis Patient Data Analysis)
June 25, 2026 – Present
Analyzed 7,000+ patient records using Excel and MySQL; built Power BI and Tableau dashboards showing patient summaries, station usage, and profit vs. non-profit insights.
Employee Data Analysis
June 25, 2026 – Present
Used Excel for pivot tables, VLOOKUP, conditional formatting, and charts to analyze recruitment, training, and engagement data across departments.
Diabetes Prediction
June 25, 2026 – Present
Analyzed a dataset of 100,000 records using MySQL and Excel; answered 19 healthcare queries, identifying key risk factors like BMI, smoking history, heart disease, and glucose levels.
Data Analyst and Data Science Course Completion Certificate
ExcelR
June 1, 2026 – Present
Post Graduation Degree Certificate
Savitribai Phule Pune University
June 1, 2026 – Present
Data Analytics and Visualization Job Simulation
Forage
June 1, 2026 – Present
Research Paper Publication Certificate
IJSDR
June 1, 2026 – Present
Data Analytics and Data Science Internship Certificate
AI Variant
June 1, 2026 – Present
Data Analyst Internship Certificate
Psyliq
June 1, 2026 – Present
Data Analysis with Python Course Completion Certificate
Cognitive Class
June 1, 2026 – Present
Data Analyst and Data Science Certificate Program
nasscom
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse portfolio of academic projects spanning different domains (HR, healthcare, manufacturing, movie recommendations, bankruptcy prediction), indicating a broad interest and adaptability. The internships, though short, show engagement in real-world data analysis tasks. This diversity suggests a good potential for cultural fit in a dynamic data science environment, provided there's a strong learning culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse datasets and apply various analytical techniques. The internship experiences suggest an understanding of data pipelines from cleaning to visualization and reporting. However, the descriptions are concise, making it difficult to assess deeper operational fit or soft skills like problem-solving approach or collaboration style.