🏢 Company Overview:
Namasys Analytics is a forward-thinking data solutions and analytics company specializing in transforming raw data into actionable insights. We work across multiple industries, helping businesses make smarter, data-driven decisions through advanced analytics, machine learning, and predictive modeling. At Namasys Analytics, we value innovation, curiosity, and a passion for learning—making it an ideal place for freshers to launch their data science career.
💼 Job Details:
- Employment type: Full Time
- Experience: Freshers
- Salary: ₹4,000 – ₹8,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Namasys Analytics is looking for enthusiastic and analytical freshers to join our data science team. The selected candidates will assist in data cleaning, analysis, and model building under the guidance of experienced data scientists. This role is perfect for recent graduates eager to gain hands-on experience in real-world data science projects and modern analytical tools.
🔑 Key Responsibilities:
- Assist in collecting, cleaning, and organizing datasets
- Support in performing exploratory data analysis (EDA)
- Work with team members to build predictive and analytical models
- Create visualizations to present insights effectively
- Document processes and findings clearly
- Collaborate with developers and analysts on data-driven projects
🛠️ Required Skills & Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related fields
- Basic understanding of Python, R, or SQL
- Familiarity with machine learning libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow (a plus)
- Strong analytical and problem-solving skills
- Ability to work independently and within a team
- Eagerness to learn new concepts and tools
🌟 Benefits:
- Opportunity to work on real-world data science projects
- Hands-on training and mentorship by industry experts
- Skill-building in analytics, machine learning, and visualization tools
- Supportive and knowledge-driven work culture
- Career growth and professional development opportunities
