Ramasrichandra Rongala

To obtain a challenging position in a reputed organization to utilize and enhance my knowledge, technical, and leadership skills and hence embark upon a fulfilling and promising career path as a forward-thinking process engineer with 1 year of experience in process design and establishing manufacturing routines. Known for great time management, effective multitasking, and detail-oriented planning.

• Creativity Head under Cultural Committee, 04/2021, 2022
• Membership Person at IICHE, 11/2019, 2022
• Photography club head, 04/2022, 2022
• Served as house captain in school

• Secured Gate Chemical Engineering With Air(All india Rank):546
• Cleared Jee mains And Jee Advanced with Air(All india Rank):4436
• Awarded telugu literature prize
• Kho-Kho district champion
• Dance junior level Mandal 1st winner in 2015
• Zone level Intermediate quiz winner
• Zone level chess runner
• Secured 1st prize in zone level running competition
• 3rd Prize in drawing conducted by cultural committee of IIPE on national science day
• SPE fest movie quiz winner from the college IIPE conducted by SPE (Society of Petroleum Engineers)
• Winner in chess conducted by technical committee of IIPE
• Winner in tech fest conducted by IIEST technical committee
• Special Mentions by audience in photography event conducted by IIEST
• Secured IGTSO gold medal

• Singing and Dancing at Cultural Fests
• Playing Kho-Kho, Cricket, and Kabaddi .
• Personal Blogs:Link: https://www.creatorshala.com/creator/profile/ram-sree

1. OIL AND NATURAL GAS CORPORATION (INTERNSHIP SUMMER - 2022):

The principal work of case study was on various production operations at different group gathering systems and gas collecting substations in Ongc Rajahmundry.During my internship focused on flow assurance, I engaged in a comprehensive study and development of a prototype design for an innovative mixed tank. This tank incorporated both horizontal and vertical separators, tailored for efficient product operations within gas collecting substations and group gathering systems in the Rajahmundry assets.

Key Highlights of the Internship:

• Thesis Development: Formulated thesis statements that addressed the critical challenges in flow assurance, emphasizing the need for improved separation techniques.
• Prototype Design: Engineered a mixed tank system that combined the advantages of horizontal and vertical separators, optimizing the separation process.
• Efficiency Improvements: The design aimed to enhance well fluid separation, reducing the time required for processing and lowering power consumption.
• Increased Throughput: By refining the separation process, the prototype contributed to a 3% increase in oil throughput, marking a significant improvement in operational efficiency.

In addition to the design and efficiency improvements mentioned earlier, the internship also involved the utilization of Aspen HYSYS, a leading process simulation software for the oil and gas industry. This powerful tool was instrumental in formulating the separation process, allowing us to simulate and analyze the journey of the sample from the well surface source to the tank.

2. INDIAN INSTITUTE OF CHEMICAL ENGINEERS (VIRTUAL PROJECTION OF IDEA/INDUSTRIAL INTERNSHIP-2022):

• A significant part of my internship was dedicated to conceptualizing ways to enhance the efficiency and sustainability of natural resources (crude oil) using cow dung. I delved into the method of pyrolysis, which allows for the extraction of diesel and gasoline using less expensive materials. By employing organic manure like cow dung and water, I proposed a natural and cost-effective approach to fuel production.
• This process not only promises a reduction in production costs but also an increase in operational efficiency. Moreover, it aligns with environmental sustainability goals by potentially decreasing pollution. One of the most notable outcomes of my proposed method is the high purity percentage of the final product, which may reach up to 97%.

3.REPORT ANALYST (2020-2021) HARA JEEVAN NGO:

As a chemical engineering student, the role of a report writer is particularly relevant when considering the environmental aspects of the field. During my internship, I analyzed environmental hazards associated with chemical engineering processes. This analysis was crucial in developing comprehensive reports that not only highlighted potential risks but also proposed sustainable solutions for waste and wastewater management.

Internship Experience:

• SAP Expertise: Leveraged SAP for robust data analysis and management, which was instrumental in understanding the environmental impact of chemical engineering practices.
• Report Production: Generated detailed reports focusing on sustainability, biodiversity, and climate change. These reports shed light on the environmental challenges and opportunities within the chemical engineering industry.
• Data Processing Efficiency: Improved the efficiency of data processing, which facilitated more informed decision-making and supported the NGO’s environmental stewardship goals.
• Waste Management Solutions: Advocated for the deployment of pit composting methods as a sustainable waste management system. This approach aligns with the principles of chemical engineering by optimizing resource usage and minimizing environmental impact.
• Environmental Analysis: Conducted thorough research on environmental hazards related to chemical engineering, leading to the development of strategies for mitigating such risks.

4. HPCL ETP MONITORING (WINTER INTERNSHIP-2022)

During my winter internship at HPCL’s Effluent Treatment Plant (ETP) in 2022, I initiated a project that integrated AI to refine the monitoring and management of wastewater treatment processes. The project aimed to enhance the ETP operations by leveraging data-driven insights from various chemical engineering disciplines.

Project Overview:

• Objective: To augment the efficiency of the ETP by using AI to analyze and interpret data from key chemical engineering subjects.
• Process Analysis: Evaluated the emulsion process, starting with the capacity of the tanks, which were designed to handle 5,000 m³ of effluent, with an emulsion period of 8 hours.
• AI Implementation: Developed an AI model to predict the separation efficiency and optimize the emulsion breaking time based on real-time data.
• Data Integration: Incorporated data such as:
• Mass Transfer Coefficients: (k_{L} = 0.002, \text{s}^{-1}) are used to assess the rate of pollutant removal.
• Heat Transfer Rates: (q = 500, \text{W/m}^2), analyzed to maintain optimal temperatures for microbial activity.
• Thermodynamic Properties: Specific heat (c_p = 4.18, \text{kJ/kg K}) is used to calculate energy balances and improve system sustainability.
• Fluid Dynamics: Flow rates ( Q = 120 , \text{m}^3/\text{h} ), assessed to optimize flow rates and reduce hydraulic retention time.
• Control Systems: Implemented AI-driven control systems to adjust operational parameters dynamically for improved process stability.
• Outcome: The final delivery of water achieved a purity level with required ppm less than 50 ppm, indicating a significant improvement in water quality.

5. PROJECT TITLE: ENHANCEMENT OF FLUORESCENT MOLECULAR MATERIALS USING CYCLOBUTANE DERIVATIVE:

Situation: The project aimed to synthesize nanostructures of fluorescent molecular materials based on cyclobutane derivatives for applications in medical imaging, electro-optical devices, and bio-imaging sensors.

Task: As a lead researcher, I was responsible for the synthesis, characterization, and application development of the fluorescent materials.

Action:

• Synthesized cyclobutane-based compounds using organic chemistry techniques.
• Characterized the compounds’ photophysical properties using advanced spectroscopic tools:
• UV-Vis Spectrometry (Shimadzu UV-2600) to determine absorption spectra.
• IR Spectrometry (Thermo Fisher Nicolet iS50) for structural confirmation.
• Fluorescence Spectrophotometry (Hitachi F-7000) to measure emission properties.
• Modified standard procedures to enhance the sensitivity and accuracy of measurements:
• Adapted the UV-Vis spectrometer with a microcell for small volume samples.
• Integrated an ATR accessory with the IR spectrometer for direct analysis of solids.
• Customized software for the fluorescence spectrophotometer for real-time data analysis.

Result:

• Successfully developed fluorescent materials with a quantum yield of 0.85 and an emission peak at 520 nm.
• Achieved a final water purity level with less than 50 ppm of contaminants.
• Demonstrated potential applications of the materials in:
• Medical: Targeted drug delivery systems for cancer therapy.
• Electro-Optical Devices: Enhanced color purity and efficiency in OLEDs.
• Bio-Imaging Sensors: High-resolution imaging for cellular and molecular studies.

• Photography
• Exploring things
• Travelling
• Learning Things

• EHS - Environmental Health and Safety Professional
• CBAP - Certified Business Analysis Professional
• Advanced Ms Excel - ICA Edu Skills-Nsdc
• Wild Life Naturalist - Mooc IIT Kota
• Health and Safety Training - ONGC, Goa
• Future of Chemical Engineering- TEQIP, IIT Dhanbad
• Python- Coursera
• Digital Marketing- GoogleAdSense

Research Project Summary: Enhanced Profitable Waste Oil Burning System with Machine Learning Analysis:

Objective: Developed a cutting-edge system to transform waste oil into a valuable fuel source, integrating machine learning for efficiency analysis.
Machine Learning Implementation:

• Utilized a heat map machine learning tool to depict efficiency and variation in the waste oil burning process.
• Analyzed correlations between burning efficiency and market advantages using data-driven insights.

Data Analysis:

• Collected data on temperature variations, fuel quality, and combustion efficiency.
• Reference data values indicated a 15% increase in fuel efficiency and a 20% reduction in emissions compared to traditional methods.

Market Impact:

• Demonstrated a positive correlation between efficient waste oil burning and market demand.
• Projected a 10% market share increase for eco-friendly fuel oils within two years.

Achievements:

• Pioneered the use of machine learning to optimize waste oil conversion.
• Enhanced profitability and environmental sustainability of waste oil management.

Case Study:

• Evaluated Global Recuperation’s approach, confirming a 25% improvement in fuel grade after implementing the system.

Conclusion:

• The integration of machine learning tools like heat maps can significantly boost the waste oil burning system’s efficiency and marketability.

1. Positivity
2. Strong and committed to work
3. Good Patience Level
4. Hard Working Ability
5. Good Team Coordination
6. Stress Management Capability
7. Never Give up Mind
8. Time Management

• Volunteer at “SPORTS MEET 2019” conducted by IIPE, Visakhapatnam
• Volunteer at “BEACH CLEANING 2019” conducted by IIPE with AP National Green Corps
• Volunteer at ‘’IIPE FAREWELL’’ conducted by IIPE, Visakhapatnam