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REQUIREMENT_ID_1458 β€’ 3-DAY_ACTIVE_POLICY

Data Science Internship

Company
Company SLONIX SOLUTION
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή30,000 per month
Location
Location Bangalore
Posted Date
Posted Date Yesterday
Python SQL Data Analysis Machine Learning Statistics Data Visualization Pandas NumPy Scikit-learn Communication
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Aptitude Practice Questions Open Resource β†—
Curated aptitude problems to sharpen quantitative and logical reasoning needed for the online test.
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Data Science Interview Preparation Open Resource β†—
Comprehensive guide covering common data‑science interview topics and model‑building questions.
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General Interview Prep Resources Open Resource β†—
Wide range of interview tips, mock questions, and resume building advice for fresh graduates.
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Coding Practice Problems Open Resource β†—
Platform to practice algorithmic problems that help in the coding portion of the selection process.

Currently pursuing a relevant undergraduate programme (final year or pre‑final year). Open to Engineering, Arts, Commerce, Sciences, Management and other streams. No minimum CGPA specified; candidates should have a strong academic record and no more than two active backlogs at the time of application.

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Round 1: Online aptitude and coding test
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Round 2: Technical interview focusing on data science concepts and projects
3
Round 3: HR interview assessing fit and motivation
Slonix Solution Private Limited is an emerging technology services firm based in Bangalore, India. The company focuses on delivering data‑driven solutions to clients across sectors such as e‑commerce, fintech, and healthcare. With a small but dynamic team, Slonix encourages a culture of rapid learning, experimentation, and collaboration. The organization values innovation, data privacy, and reproducibility, making it an ideal environment for fresh talent eager to make a tangible impact. The Data Science Internship at Slonix is designed for undergraduate students in their final or pre‑final year who are passionate about turning raw data into actionable insights. Interns will work closely with senior data scientists and product managers, gaining hands‑on experience in the full lifecycle of data projectsβ€”from acquisition to model deployment. This role offers a unique blend of technical challenges and business exposure, allowing interns to understand how data science drives strategic decisions in a real‑world setting. Key responsibilities include: 1. Collecting, cleaning, transforming, and validating structured and unstructured datasets from internal and external sources. 2. Conducting exploratory data analysis to uncover patterns, trends, and anomalies. 3. Assisting in the development, testing, and evaluation of statistical and machine‑learning models. 4. Building clear visualizations, dashboards, and concise reports to communicate findings to stakeholders. 5. Documenting data pipelines, methodologies, and code to ensure reproducibility. 6. Collaborating with cross‑functional teams to gather requirements and translate business problems into analytical solutions. 7. Staying updated with emerging tools, libraries, and best practices in data science and analytics. 8. Ensuring data privacy and compliance with company policies throughout the project lifecycle. 9. Participating in code reviews and knowledge‑sharing sessions within the team. 10. Providing recommendations based on analytical insights to support decision‑making. The tech stack primarily includes Python (pandas, NumPy, scikit‑learn), SQL for data extraction, Jupyter notebooks for experimentation, and visualization tools such as Tableau or Power BI. Familiarity with Git for version control and cloud platforms like AWS or GCP is a plus. Growth path: Successful interns may receive a full‑time offer as a Junior Data Scientist or Analyst, with clear mentorship and a roadmap to senior roles. The internship also serves as a springboard to build a strong portfolio, network with industry professionals, and acquire skills that are highly sought after in the Indian job market. Why join Slonix? The company offers a supportive learning environment, exposure to real client projects, and the chance to work on end‑to‑end data pipelines. Interns are empowered to experiment, make mistakes, and iterate quickly, fostering both technical depth and business acumen. Moreover, the stipend of β‚Ή20K‑₹30K per month ensures that students can focus on learning without financial strain.

SLONIX SOLUTION β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
SLONIX SOLUTION Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for SLONIX SOLUTION and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, SQL, Data Analysis, Machine Learning, Statistics, Data Visualization, Pandas, NumPy, Scikit-learn, Communication) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
SLONIX SOLUTION Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join SLONIX SOLUTION as a Data Science Internship?
Preparation Tip: Highlight SLONIX SOLUTION's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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