About the Internship
Selected intern's day-to-day responsibilities include:A. Data collection & cleaning:
1. Gather data from internal databases, APIs, or public datasets.
2. Identify and handle missing values, inconsistencies, and errors.
3. Transform raw data into a usable format for analysis.
B. Data exploration & analysis:
1. Perform exploratory data analysis (EDA) to understand patterns and trends.
2. Use statistical methods to identify correlations, anomalies, or outliers.
3. Visualize data using charts, graphs, and dashboards (Matplotlib, Seaborn, Tableau, etc.).
C. Feature engineering & preprocessing:
1. Create new features from existing data to improve model performance.
2. Normalize, encode, or scale data as needed.
3. Handle categorical and time-series data preprocessing.
D. Modeling & machine learning:
1. Assist in building predictive or classification models using Python/R.
2. Test multiple algorithms and evaluate performance using metrics like accuracy, F1-score, RMSE, etc.
3. Fine-tune hyperparameters and document findings.
E. Reporting & documentation:
1. Prepare reports summarizing insights, trends, and model results.
2. Maintain clear documentation for code, methodology, and workflows.
3. Present findings to the team or mentor in meetings.
Number of Openings
100 openingsPerks of this Internship
Flexible work hours Certificate Recommendation letter
Other Requirements
1. are available for the work from home job/internship
2. have relevant skills and interests
3. can start the work from home job/internship between 26th Feb'26 and 2nd Apr'26
4. are available for duration of 2 months
5. have already graduated or are currently in any year of study
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