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I applied via Walk-in and was interviewed before Jan 2023. There were 2 interview rounds.
General Organic chemistry questions and API related questions
pKa plays a crucial role in HPLC method development by determining the ionization state of analytes and their retention on the stationary phase.
pKa helps in selecting the appropriate mobile phase pH for ionizable compounds.
It influences the ionization of analytes, affecting their solubility and interaction with the stationary phase.
pKa values aid in optimizing separation by adjusting the pH to enhance selectivity and r...
The pKa value of a product is calculated based on its acid dissociation constant and the concentration of the acid and its conjugate base.
pKa is a measure of the acidity or basicity of a compound.
It is calculated using the equation: pKa = -log10(Ka), where Ka is the acid dissociation constant.
The acid dissociation constant is the ratio of the concentration of the dissociated form of the acid to the concentration of the...
Titration is a technique used in chemistry to determine the concentration of a substance in a solution.
Acid-base titration: involves the reaction between an acid and a base to determine the concentration of either
Redox titration: involves the transfer of electrons between reactants to determine the concentration of a substance
Complexometric titration: involves the formation of a complex between a metal ion and a ligand...
Developing an HPLC related substances method involves selecting appropriate column, mobile phase, and detection wavelength.
Select a suitable column based on the analyte properties and separation requirements.
Optimize the mobile phase composition and gradient program for efficient separation.
Choose an appropriate detection wavelength based on the analyte's UV absorption properties.
Validate the method by testing specific...
There are several types of GC capillary columns, including non-polar, polar, and specialty columns. The best type depends on the specific application and analytes being analyzed.
Non-polar columns are best for separating non-polar compounds, such as hydrocarbons.
Polar columns are ideal for separating polar compounds, such as alcohols and acids.
Specialty columns, like chiral columns, are used for separating enantiomers.
F...
I applied via Naukri.com and was interviewed before Aug 2021. There were 2 interview rounds.
The interview questions cover topics such as self-introduction, developing methods for API to finished products, column chemistry, method validation, and ICH guidelines.
For self-introduction, briefly talk about your background, education, and relevant experience.
To develop a method for API to finished products, consider factors such as the desired assay and related substances, analytical techniques, and regulatory requ...
Possible reasons for not achieving mass balance in forced degradation
Incomplete degradation of the analyte
Formation of unknown degradation products
Loss of analyte during sample preparation or analysis
Inaccurate measurement of sample or standard volumes
Errors in weighing or dilution of samples
Contamination of samples or equipment
Inadequate mixing or homogenization of samples
Inefficient extraction of analyte from the mat...
Multimedia dissolution method can be developed by considering the physicochemical properties of the drug and the media used.
Select appropriate media that mimic the physiological conditions of the drug's intended site of action
Determine the solubility and stability of the drug in different media
Optimize the pH and temperature of the media to enhance drug solubility
Use appropriate equipment and techniques for sample prep...
Sink condition in dissolution refers to a state where the drug being dissolved is completely solubilized and no further dissolution occurs.
Sink condition is achieved when the concentration of the drug in the dissolution medium is much lower than its solubility.
It ensures that the dissolution process is not limited by the drug's solubility but by other factors like diffusion.
Sink condition is important for accurate and ...
pKa value determination and their role in development
pKa value is a measure of the acidity or basicity of a compound
It helps in understanding the chemical properties and behavior of a compound
pKa values are important in drug development as they affect drug solubility, absorption, and stability
Determining pKa values can aid in optimizing drug formulations and predicting drug-drug interactions
Bsc classification is a system used to categorize and classify living organisms based on their characteristics.
Bsc classification stands for Biological Species Concept classification.
It is used to group organisms based on their physical and genetic characteristics.
The classification system includes Kingdom, Phylum, Class, Order, Family, Genus, and Species.
Each level of classification is based on specific characteristic...
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There were 3 interview rounds.
I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.
Tuple is an ordered collection of elements, while a dictionary is an unordered collection of key-value pairs.
Tuples are immutable, while dictionaries are mutable.
Tuples are accessed using indexing, while dictionaries are accessed using keys.
Tuples are typically used to store related pieces of data, while dictionaries are used for mapping and lookups.
Adjusted R square is a statistical measure that represents the proportion of variance in the dependent variable accounted for by the independent variables.
Adjusted R square is an extension of R square, which measures the goodness of fit of a regression model.
It takes into account the number of predictors in the model and adjusts for the degrees of freedom.
Adjusted R square ranges from 0 to 1, where a higher value indic...
Both Random Forest and XG Boost are powerful machine learning algorithms, but their performance depends on the specific problem and data.
Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.
It is known for its ability to handle high-dimensional data and maintain good performance even with noisy or missing data.
XG Boost, on the other hand, is a gradient boosting algorith...
Max pooling is a pooling operation that selects the maximum value from a region of the input data.
Max pooling is commonly used in convolutional neural networks (CNNs) for feature extraction.
It reduces the spatial dimensions of the input data while retaining the most important features.
Max pooling helps in achieving translation invariance, making the model more robust to variations in input position.
For example, in a 2x...
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There were 3 interview rounds.
I applied via Recruitment Consultant and was interviewed in Jul 2021. There was 1 interview round.
I have used various algorithms such as linear regression, decision trees, and neural networks to analyze data and make predictions.
Used linear regression to predict housing prices based on various features
Implemented decision trees to classify customer behavior and recommend products
Utilized neural networks for image recognition tasks
Challenges included dealing with missing data and overfitting
Outcome was improved accu
The algorithm was chosen based on its ability to handle large datasets and its accuracy in predicting outcomes.
The algorithm was selected after evaluating its performance on similar datasets.
It was chosen for its ability to handle high-dimensional data and its scalability.
The algorithm was compared to other models and found to have the highest accuracy in predicting outcomes.
The choice of algorithm also depends on the
posted on 22 Mar 2021
I was interviewed before Feb 2021.
House price prediction
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