Naman Singhal
Python || R || C++ || DSA || Machine learning || Data Science || python Library || tkinter || Numpy || pandas || matpoltlib || pytorch | skcipy learn || Tensorflow || MediaPipe ||hypothesis|| Reinforcement Learning ||SQL
- Role
- Undergraduate at Adobe
- Location
- Saharanpur, UP, IN
- LinkedIn followers
- 500 followers
About Naman Singhal
i.am a passionate and motivated BCA student, currently building a strong foundation in computer science and software development. Though I am a fresher, I have actively worked on several hands-on projects such as AI-based tools, a Secure Virtual Voting App, and data-driven dashboards using Power BI.I am continuously enhancing my skills in:Programming & Development: Proficient in Python, with a focus on problem-solving, data manipulation, and developing creative project ideas in the field of Generative AI.Data structure Algorithm: complexity, divide and conquer, stack, queue, deque priority queue, window sliding, prefix,suffix, segment, hash map, heap, segment, trees, graph, BSF, bit manipulation, greedy algorithm, dynamic programming,two pointer approach, sorting Algorithm like selection sort, heapsort merge sort, quick sort, bubble sort, radix sort, searching Algorithm like binary search, linear search.Data Analysis: Hands-on experience with NumPy, Pandas, Matplotlib, and Seaborn for data handling and visualization.Data science: skcipy learn, pytorch and tensorflow for deep learning and creating neutral network and also learning about keras library.load data -> clean Data -> transform data -> encoding & scaling -> chose machine modal -> fit the data -> future predictions -> deployment -> using django & flask -> reporting & communication. Machine learning, supervised, unsupervised, deep learning, neural network, Agentic AI, generative AI, cv modals, object detection, face recognition, count body gestures, LLM,CNN, NLP modals, modal Evaluation, clustering, classification, logistics regression, decision Trees, reinforcement learning, k-nearest neighbours.Database Management: Learning MySQL with a strong understanding of joins, grouping, aggregate functions, indexing, and efficient data querying, normalization,ER modal, DDL, DML, TCL, DQL,DCL, functions, math functions, date and time functions, static functions.APIs & JSON: Practicing API integration to fetch and manipulate data from servers using JSON format. Rest API, Fast APIimport request. using dumps and loads method in python. I have some knowledge regarding cloud computing some tool like servers,storage, virtualization,hardwaresCommunication Skills: Well-developed communication and reporting abilities, allowing me to present complex ideas in a clear and professional manner.I am enthusiastic about exploring new technologies, working on innovative projects, and continuously improving my technical and analytical skills.
Experience
Undergraduate
Jun 2024 — Present
Education
Kurukshetra University (KUK)
Bachelor of computer Application , Artificial Intelligence
Mukand Lal National College
Bachelor of computer Application , Computer and Information Sciences and Support Services
Lord Mahavira Academy
Bachelor of computer application , Computer Software Engineering
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