Chronoanalytics Solutions LLP

Job Description

Important Note:

1. Please review the job description carefully before applying.
2. Candidates graduating in 2026 will be eligible for a Pre-Placement Offer (PPO) based on their internship performance.
3. Candidates graduating in 2027 will be offered only the internship opportunity.
4. Candidates graduating in 2027 will receive a completion certificate upon successful completion of the internship, along with exposure to live projects.

About Company:

Unlock your potential with our cutting-edge training program, designed to cultivate expertise across the digital landscape. From harnessing the power of social media analytics to mastering advanced Excel techniques, our curriculum empowers you to navigate the complexities of manufacturing and supply chain analytics with confidence. Dive deep into predictive maintenance and anomaly detection, while exploring the intricacies of energy distribution analytics and asset management. Our program sharpens your skills in crafting smart dashboards using state-of-the-art data visualization tools, enabling you to transform raw data into actionable insights across marketing, finance, and HR domains. Embrace the future with hands-on training in artificial intelligence, data science, and machine learning, utilizing R, Python, and SQL. Elevate your digital presence through our LinkedIn Accelerator and comprehensive digital marketing modules, covering Google and Facebook advertising platforms. Venture into the realms of big data with Hadoop, fortify your knowledge in cybersecurity, and unleash your creativity with basic graphic design skills. This holistic approach ensures you emerge as a versatile, data-savvy professional ready to lead in the digital era.

Company Name: Chronoanalytics Solutions LLP.

Experience: Fresher.

Designation: Software Developer Intern.

Role:  1. Data Science Intern.

            2. Web-developer Intern.

Job Location: Pune. 

Eligibility Criteria:  

• Qualification: BE/B. Tech(CS/IT),BCS,BCA,MCS,MCA.
• Pass out Year: 2026/2027.
• Percentage Criteria: NA.
• Any Bond: No.
• Certificate(If Any): No.

Package Details:

• Stipend During Internship Period for 6 months (For 2026 & 2027): Between Rs. 5,000 toRs.8,000/- Per Month.
• Approx. PPO after 6 months of internship period (Only for 2026 pass out): Up to Rs. 4,00,000/- Per Annum (Based on the internship performance).
• For 2027 Pass outs: Internship opportunity only.

Web Developer Intern:
Roles & Responsibilities:

1. Develop and maintain scalable web and mobile applications.
2. Design, build, and integrate RESTful APIs and backend services.
3. Develop responsive and user-friendly interfaces using modern frontend technologies.
4. Work with databases such as MySQL and MongoDB for data management.
5. Collaborate with cross-functional teams in an Agile development environment.
6. Perform testing, debugging, deployment, and application maintenance.
7. Ensure application performance, security, and scalability.

Key Skills Required:

1. Strong proficiency in Angular, JavaScript, HTML5, and CSS3 for frontend development.
2. Hands-on experience with Node.js, Python/Django, or PHP for backend development.
3. Knowledge of RESTful APIs and web service integration.
4. Experience working with MySQL and MongoDB databases.
5. Familiarity with Android, iOS, Flutter, React Native, or Ionic for mobile application development.
6. Understanding of responsive design and UI/UX best practices.
7. Knowledge of Agile development methodologies and Git version control.
8. Strong problem-solving, debugging, and communication skills.

Data Science Intern:
Roles & Responsibilities:

1. Collect, clean, and preprocess data from multiple sources.
2. Perform exploratory data analysis (EDA) to identify trends and insights.
3. Build, test, and evaluate machine learning models.
4. Create data visualizations, dashboards, and reports for decision-making.
5. Assist in automating data pipelines and reporting processes.
6. Collaborate with teams to understand business and data requirements.
7. Document analysis, models, and project findings effectively.

Key Skills Required:

1. Strong programming skills in Python and SQL.
2. Hands-on experience with Pandas and NumPy for data analysis.
3. Understanding of Machine Learning concepts and Scikit-learn/TensorFlow libraries.
4. Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
5. Knowledge of data cleaning, preprocessing, and exploratory data analysis (EDA).
6. Understanding of statistics and predictive modeling techniques.
7. Strong analytical thinking and problem-solving skills.
8. Good communication, documentation, and collaboration abilities.